you2idea@video:~$ watch 3mnXnyHFT2A [53:48]
// transcript — 2019 segments
0:03 Welcome to the official Saster Podcast where you can hear some of the best SAS
0:09 speakers. This is where the cloud meets up today on the Saster Podcast. All
0:12 these agents are getting better. We have 20 in production. Here's the thing. This
0:18 includes Replet. This includes Opus. This includes Agent Force and Artisan
0:23 and Qualified. All the tools we love to death. They automate a lot of stuff. like they
0:30 might even automate 95% of what you used to need a team to do, they don't
0:36 automate everything. Here's the problem. As great as these tools are, they do not
0:41 enable lazy marketing. What they enable is better marketing and much more of it.
0:47 Everyone wants an autopilot. Everyone wants to buy a tool and disappear. It
0:52 does not work that way. You know, you can have crappy output. You can have
1:00 Hey everybody, it's Saster. Connect data, automate busy work, and empower
1:04 teams like nobody's business with the one platform that grows with you every
1:08 step of the way. Learn how Salesforce works for startups at salesforce.com/smv.
1:21 Hey Sasser, imagine having agents for every support task. One that triages
1:24 tickets, another that catches duplicates, one that spots churn risk.
1:28 That'd be pretty mainly, right? Happy Fox just made it real with autopilot.
1:33 These pre-built AI agents deploy in about 60 seconds and run for as low as 2
1:38 cents per successful action. All of it sits inside the Happy Box omni channel
1:43 AI first support stack, chatbot, co-pilot, and autopilot working as one.
1:55 So, thanks all for joining us here. We thought we would do a part two to what
2:00 we started last week. If you didn't see it last week, that's okay. We'll cover
2:05 some of it here and do a refresher. We primarily focused on sales and
2:10 specifically outbound, all of our AI SDR agents. So what I thought we would do
2:15 today is start with marketing and then we'll kind of circle back to a few
2:19 things we didn't get to in broader go to market just in what's working now for us
2:25 at least as our AI is running our go to market teams and we have more agents
2:31 than people here at Saster. So thought we would go through that start there.
2:36 One thing I'll preface for everyone, if you haven't seen this yet or you
2:41 missed this last time, if you do go on saser.ai/ agents, this will reference a
2:46 lot of the things we talked about last week and this week in the two parts for
2:50 go to market. So this is our agent arsenal. As it says, a lot of these
2:54 tools are, you know, third party tools. Some of them have a little bit of
2:58 proprietary stuff in them. There's the proprietary apps we've embied coded, but
3:02 this has the whole guide there. So, if you're looking for like certain tools we
3:06 message or drop in or show screenshots of and you want to refer back to them,
3:10 they're all there just to make it easy for you. So, with that, let's dive into
3:19 marketing a bit just cuz we didn't get to it and I feel like it's a it's an
3:24 important topic and before we get more tactical with it since we have a little
3:27 bit of time, Jason, want to get your thoughts on what you're seeing here as
3:31 well. I this is a study I referenced last week as well. This is from Rory and Skilled
3:39 Venture Partners. It was a state of AI go to market study that just came out.
3:44 It's a pretty good one. I wanted to call out a few things in marketing I think
3:48 that are interesting to me because I feel like for marketing in
3:52 particular, folks seem to be more behind than they are in sales or support. I
3:57 actually anecdotally don't know why that is. I don't think it's because there's a
4:02 lack of tools, which a lot of folks will point to. I don't think it's that. As
4:05 you'll see in our next few slides, there's plenty of tools we're using in
4:09 marketing and that are working well. So, I think it's just a little bit
4:12 interesting here to see in the data that, you know, most folks are just
4:17 using AI in marketing for things like messaging. Okay, fine. But that's
4:21 everyone's done that now, right? Chat TV. Doing research, I feel like, yep,
4:26 that's a little bit more in the weed. maybe a little bit more specialized but
4:30 most people have not done these phase what they're calling phase two use cases
4:34 which is actually analyzing you know marketing campaign data and spend
4:38 whether it's in-house or with third party agencies actually using it to be
4:45 creative I think I don't know where this stigma has come from but that the AI is
4:49 not that creative or that all the AI content comes out the same I feel like
4:54 those are also two schools of thought that we've kind of mythbusted Ed on and
4:59 then for things like enriching and scoring. So as we talked about a lot
5:03 last week in just how we're running some of our go to market through these agents
5:07 with sales in particular. A lot of that is still relevant to marketing. So I
5:11 think that's maybe a conversation we can have at the end of you know what does
5:15 this all mean for the two separately and then together but I think it's something
5:20 where so many of these platforms and AI maybe they were built for sales but you
5:23 can actually use for marketing which I'll show. All right. So let me let me
5:27 show you guys a few things of what we mean and then yeah we can dive into it a
5:32 bit more on what this might mean for you all. I would say right now in marketing
5:37 we have the most specialized stack and what I mean by that is like we have the
5:41 most amount of tools in marketing maybe than we have for sales. A lot of our
5:46 agents that we've deployed in sales, I'm able to deploy multiple agents on single
5:50 platforms. And so that's helped a lot in terms of like how we train into all the
5:54 agents has been different in each of those platforms and in each of those
5:58 single instances. But I'd say for marketing, we probably have the most
6:04 specialized stack right now. We have hyperfocused tools that do one thing
6:09 really well. And so in this it's been a little bit of trial and error of us trying to find you know
6:17 what are the very best ones out there and then not only which ones are the
6:21 very best ones out there but which ones will we actually stick with using and
6:27 also use for actual go to market right which ones are just okay we kind of had
6:31 fun played around for the weekend on and then never used again which ones do we
6:36 actually need now in our dayto-day so there's two I think that have become
6:41 core for us. It's both from a This one's both a sales and marketing perspective, but I've used
6:47 it for both use cases. This is a really great one at making collateral. So, just
6:52 go to market collateral, whether that's sales collateral, marketing collateral.
6:56 The two apps we use the most right now are going to be Gamma and Reeve. I think
7:00 the next slide is Higsfield. We use those a lot heavily. I put these this
7:07 slide here. This is an actual sign I sent replet. But this is a custom. You'll see I
7:14 picked this slide because it has a few custom photos on it. The photos were
7:19 made by Reeve. So where you see these guys like vibe coding outside. I told
7:22 Reeve, you know, hey, I'm thinking about doing like a vibe coding camp or summit
7:27 or something. Vibe coding lab. It also came up with that name for me. A vibe
7:32 coding lab at Saster Annual next year. This is basically a pitch I wanted to do
7:35 with our marketing team. I gave it actual photos of Santorano. I was like,
7:39 "Here's what our setup looks like. Here's what the tents look like outside.
7:43 Here's what people, you know, kind of look like in SAS. So, just so you have
7:47 the a grounding, I would say for the agent to know what to output on. That also will help it not be
7:54 as generic. I feel like where Reef kind of kicks butt over Nano Banana or some
8:00 of the other or you know chat GBT or Sora is you can upload an image to those
8:05 and I feel like most people are just Gibbly themselves or maybe like a Pixar
8:09 version of themselves. Reev is really good at doing mockups. Like it I don't
8:14 think it was intended to be its superpower. It's really good at doing
8:18 stuff like this where like I used to have to ask our designer, "Hey, can you
8:22 do a quick mockup of, you know, the Replet logo in its head, kind of make it
8:26 look real like people are sitting in it." One, that takes really long when a
8:31 manual designer does it. Two, because I gave it reference images. Reef was like,
8:35 this was a first shot image. I was like, "That one's pretty good." I was like, I
8:39 like that one. It looks like our tent that we have outside. There's people
8:42 they're viating on the screens. I told it make sure they're by building on the
8:47 screen. And so that's pretty cool. And so I had it do a couple more. I was
8:50 like, okay, what are other things I want to conceptualize for this potential
8:53 space that Replet's going to do in its disaster. Um I said, "Okay, I want to be
8:57 an exclusive footprint." So it came up with this, you know, here's the rest of
9:01 the outdoor tent with the Replet logo. I did orange umbrellas because it pitched
9:04 that from their brand colors that's prevalent in the logo. And I said,
9:07 "Okay, now the last thing I want is I want to include some sort of like
9:11 outdoor stage and space." I gave it photos of past outdoor stages we had
9:15 with speakers on it and it came up with this and I was like cool. I actually
9:20 think it kind of crushed it on these mocks I wouldn't have been able to do
9:25 otherwise and it's just such a way in which like when I started presenting
9:28 this to the replet team they were like that's cool like they can visualize it
9:32 they can see it. >> Yeah. Yeah. Just to add the inside tip
9:37 for guys that might not you know for reev.art art. It is a team that built
9:41 their own image LLM. It's not the same stuff. Everyone else uses, you know,
9:46 there's a variet that they might use, but when you know when you build when
9:48 you build a lot of images and they all look like cartoons or they look silly or
9:52 they look goofy, it's not your only asset for B2B. Try Reeve. Upload
9:56 something that's similar to what you want and in plain English tell it what
10:01 you want. I think for B2B use cases, for real business stuff, the 95% chance it's
10:04 gonna be much better than what you get out of Chat GBT. I started using this. I
10:08 told Emily to use it. She didn't. And then it's just this is the kind of real
10:13 stuff that you want, not goofy cartoon looking stuff or I mean that has its
10:17 place if you want to be fun. But for B2B, use this and it's going to crush
10:21 like this looks real. It looks great. There's no excuse for those for that
10:24 goofy cartoon stuff unless that's what you want. And I don't think you know the
10:29 world has moved past that for B2B. You don't have to settle for crappy text
10:32 which we'll talk to and you don't have to settle for cartoony images. you in
10:36 fact should create great pitches for your prospects. >> Yeah. Yeah. So, how this one came about
10:45 in this use case was I Yeah. We've obviously had this journey with Replet,
10:48 but then I started to get to know their marketing team. We want to do more
10:52 marketing and so they're a sponsor for an event already, but we wanted they
10:55 were like we want to do something bigger, probably something custom at
10:59 Ster annual. And so, we started thinking through this vibe coding lab thing. I
11:04 would say Reev also is best at you can this logo. I gave it that logo, right?
11:08 Like sometimes when you put it in the other generators or LLMs, it will come
11:13 up with a logo or it will change their logo. Reev I think kind of quietly
11:19 crushes it at the text being good and if you upload logos it keeps the logos.
11:24 So that's one where I to Jason's point, I really like the professionalism of it.
11:29 It looks polished, right? So this is something that I think is sendable to
11:33 folks. So I like it for that use case. Another one is just related to marketing. You
11:40 know, we're doing all these assets for Sster London in a 10 days or whatever.
11:46 And I put into Reeve like my original concept of okay, here's what I'm kind of
11:49 thinking for all the stages. You know, we need like some backdrops. We need a
11:53 bunch of signage. And I had Ree give me, you know, all these different outputs. I like that one
11:59 looks too dry. That one is too overdone. That one's too boring. It's really good
12:02 for storyboarding, which I feel like is a good superpower of it, too, because
12:06 it's going to generate all these real realistic images, right? Give it images
12:11 of past London events. Like, I gave it the venue. I gave photos of the venue.
12:14 Like, it can actually help you picture and visualize and storyboard what you
12:18 want. And so, when I started going through that process and made this
12:20 really cool like portal looking thing, I was like, "Oh, I like that. I like that
12:24 plus a straight AI would look pretty sick." And so then we actually we ended
12:31 up I upscaled it in Adobe Photoshop has a little bit of AI. So you can take it
12:35 out of reev if it's, you know, it's fine enough digital quality, but if you're
12:38 doing anything print, you do need to have usually higher quality, higher DPI.
12:44 And so I put it into Photoshop, upscale it, gave it to Designer as a 4K asset,
12:49 all generated in Re. And I was like, this is the portal, you know, clean it
12:53 up, add Saster AI, and we got a pretty sick looking brand. That is also another great use case more
13:00 specifically for marketing kind of related to events but you guys might
13:03 even if you have a small event this is a good way to kind of quietly you know
13:07 uplevel it as well and make it look more polished and better you can use it I've
13:11 used it in emails right obviously image generation for emails that we're sending
13:15 out but just in go to market if you want it to be more you know tactical we're
13:19 using it here for both sales and marketing collateral that we're using to
13:23 drive revenue so it is something that works really well I then plugged the
13:28 image into Gamma. Gamma, if you don't know, it is a it's a I want to say newerish tool that does
13:37 content creation, specifically presentations. So, like you might say,
13:41 oh, I could do a presentation can, but yeah, you can and like I've done both
13:45 and I run tests on both side by side. Usually the gamas are just a bit better,
13:50 especially for B to B to C. Yeah, sorry. For B2B rather than B TOC like Canva is
13:55 the decks come out a little bit better. You can give it things like again like
14:00 rep I gave it replets orange. I gave it their I was like check their website for
14:06 fonts that you should use. Also look up how they talk about themselves because
14:10 you can give it the content you want but you can also prompt it. Usually the
14:14 output is pretty good. And so I like gamma a lot because we use it now to
14:19 send all of our like sales collateral, sales deck, support decks. We've
14:23 gamuted. It's easy. They're also easily sharable. So between the two tools together, you
14:30 know, you'll have to still customize the two. Like I don't use all the image
14:35 creations out of Gamma. Uh, I prefer like Gamma has built-in image creation
14:40 and I obviously still prefer like the Reeve images or ones that we have that
14:46 are actual like real images like so like we still pick and choose which ones work
14:49 better. So that's what I mean like our marketing stack is probably the most
14:53 specialized but it does help eliminate a lot of bottleneck and deal cycles,
14:56 right? You're getting them something polished. You're not waiting, you know,
15:00 a week for your designer to come in and do this personalized deck. I feel like
15:07 just elicit a much better conversation or response from folks. Like this also,
15:11 not only can this kind of uplevel your deck. So you can also send them to more
15:14 people is what I found. Like we've started sending these to pretty much
15:17 everyone. We're like we used to not do that. We used to be like here's one set
15:21 deck we have for SAS. If you're interested in sponsoring, here's the one
15:25 deck. sometimes, you know, that's not the best thing for teams to pass around
15:28 when they're like, "Okay, we're considering opting into this or if
15:31 you're trying to go to market with something more so on the marketing side.
15:36 It's again, it's not clean. It's not as polished to show like one asset that's
15:40 more generalized obviously versus something that's hyperpersonalized to
15:44 that. You've obviously that you've listened to their needs, but using the
15:47 AI, you can kind of scale that up a bit more so that you can have this sounds
15:52 across. It looks a lot better. You don't need an agency to do this and then they
15:56 can share it internally. I'll I if you use it directly in gamma versus
16:00 exporting it to like PDF or Google Glades, it'll tell you whatever people
16:03 view it. So I'll get pings all the time of you know random XYZ person at XYZ
16:09 company do this deck. I'm like yeah I didn't send it to them but they're at
16:11 the company and they're always like sharing this around. So I think that's
1:21 Hey Sasser, imagine having agents for every support task. One that triages
1:24 tickets, another that catches duplicates, one that spots churn risk.
1:28 That'd be pretty mainly, right? Happy Fox just made it real with autopilot.
1:33 These pre-built AI agents deploy in about 60 seconds and run for as low as 2
1:38 cents per successful action. All of it sits inside the Happy Box omni channel
1:43 AI first support stack, chatbot, co-pilot, and autopilot working as one.
1:55 So, thanks all for joining us here. We thought we would do a part two to what
2:00 we started last week. If you didn't see it last week, that's okay. We'll cover
2:05 some of it here and do a refresher. We primarily focused on sales and
2:10 specifically outbound, all of our AI SDR agents. So what I thought we would do
2:15 today is start with marketing and then we'll kind of circle back to a few
2:19 things we didn't get to in broader go to market just in what's working now for us
2:25 at least as our AI is running our go to market teams and we have more agents
2:31 than people here at Saster. So thought we would go through that start there.
2:36 One thing I'll preface for everyone, if you haven't seen this yet or you
2:41 missed this last time, if you do go on saser.ai/ agents, this will reference a
2:46 lot of the things we talked about last week and this week in the two parts for
2:50 go to market. So this is our agent arsenal. As it says, a lot of these
2:54 tools are, you know, third party tools. Some of them have a little bit of
2:58 proprietary stuff in them. There's the proprietary apps we've embied coded, but
3:02 this has the whole guide there. So, if you're looking for like certain tools we
3:06 message or drop in or show screenshots of and you want to refer back to them,
3:10 they're all there just to make it easy for you. So, with that, let's dive into
3:19 marketing a bit just cuz we didn't get to it and I feel like it's a it's an
3:24 important topic and before we get more tactical with it since we have a little
3:27 bit of time, Jason, want to get your thoughts on what you're seeing here as
3:31 well. I this is a study I referenced last week as well. This is from Rory and Skilled
3:39 Venture Partners. It was a state of AI go to market study that just came out.
3:44 It's a pretty good one. I wanted to call out a few things in marketing I think
3:48 that are interesting to me because I feel like for marketing in
3:52 particular, folks seem to be more behind than they are in sales or support. I
3:57 actually anecdotally don't know why that is. I don't think it's because there's a
4:02 lack of tools, which a lot of folks will point to. I don't think it's that. As
4:05 you'll see in our next few slides, there's plenty of tools we're using in
4:09 marketing and that are working well. So, I think it's just a little bit
4:12 interesting here to see in the data that, you know, most folks are just
4:17 using AI in marketing for things like messaging. Okay, fine. But that's
4:21 everyone's done that now, right? Chat TV. Doing research, I feel like, yep,
4:26 that's a little bit more in the weed. maybe a little bit more specialized but
4:30 most people have not done these phase what they're calling phase two use cases
4:34 which is actually analyzing you know marketing campaign data and spend
4:38 whether it's in-house or with third party agencies actually using it to be
4:45 creative I think I don't know where this stigma has come from but that the AI is
4:49 not that creative or that all the AI content comes out the same I feel like
4:54 those are also two schools of thought that we've kind of mythbusted Ed on and
4:59 then for things like enriching and scoring. So as we talked about a lot
5:03 last week in just how we're running some of our go to market through these agents
5:07 with sales in particular. A lot of that is still relevant to marketing. So I
5:11 think that's maybe a conversation we can have at the end of you know what does
5:15 this all mean for the two separately and then together but I think it's something
5:20 where so many of these platforms and AI maybe they were built for sales but you
5:23 can actually use for marketing which I'll show. All right. So let me let me
5:27 show you guys a few things of what we mean and then yeah we can dive into it a
5:32 bit more on what this might mean for you all. I would say right now in marketing
5:37 we have the most specialized stack and what I mean by that is like we have the
5:41 most amount of tools in marketing maybe than we have for sales. A lot of our
5:46 agents that we've deployed in sales, I'm able to deploy multiple agents on single
5:50 platforms. And so that's helped a lot in terms of like how we train into all the
5:54 agents has been different in each of those platforms and in each of those
5:58 single instances. But I'd say for marketing, we probably have the most
6:04 specialized stack right now. We have hyperfocused tools that do one thing
6:09 really well. And so in this it's been a little bit of trial and error of us trying to find you know
6:17 what are the very best ones out there and then not only which ones are the
6:21 very best ones out there but which ones will we actually stick with using and
6:27 also use for actual go to market right which ones are just okay we kind of had
6:31 fun played around for the weekend on and then never used again which ones do we
6:36 actually need now in our dayto-day so there's two I think that have become
6:41 core for us. It's both from a This one's both a sales and marketing perspective, but I've used
6:47 it for both use cases. This is a really great one at making collateral. So, just
6:52 go to market collateral, whether that's sales collateral, marketing collateral.
6:56 The two apps we use the most right now are going to be Gamma and Reeve. I think
7:00 the next slide is Higsfield. We use those a lot heavily. I put these this
7:07 slide here. This is an actual sign I sent replet. But this is a custom. You'll see I
7:14 picked this slide because it has a few custom photos on it. The photos were
7:19 made by Reeve. So where you see these guys like vibe coding outside. I told
7:22 Reeve, you know, hey, I'm thinking about doing like a vibe coding camp or summit
7:27 or something. Vibe coding lab. It also came up with that name for me. A vibe
7:32 coding lab at Saster Annual next year. This is basically a pitch I wanted to do
7:35 with our marketing team. I gave it actual photos of Santorano. I was like,
7:39 "Here's what our setup looks like. Here's what the tents look like outside.
7:43 Here's what people, you know, kind of look like in SAS. So, just so you have
7:47 the a grounding, I would say for the agent to know what to output on. That also will help it not be
7:54 as generic. I feel like where Reef kind of kicks butt over Nano Banana or some
8:00 of the other or you know chat GBT or Sora is you can upload an image to those
8:05 and I feel like most people are just Gibbly themselves or maybe like a Pixar
8:09 version of themselves. Reev is really good at doing mockups. Like it I don't
8:14 think it was intended to be its superpower. It's really good at doing
8:18 stuff like this where like I used to have to ask our designer, "Hey, can you
8:22 do a quick mockup of, you know, the Replet logo in its head, kind of make it
8:26 look real like people are sitting in it." One, that takes really long when a
8:31 manual designer does it. Two, because I gave it reference images. Reef was like,
8:35 this was a first shot image. I was like, "That one's pretty good." I was like, I
8:39 like that one. It looks like our tent that we have outside. There's people
8:42 they're viating on the screens. I told it make sure they're by building on the
8:47 screen. And so that's pretty cool. And so I had it do a couple more. I was
8:50 like, okay, what are other things I want to conceptualize for this potential
8:53 space that Replet's going to do in its disaster. Um I said, "Okay, I want to be
8:57 an exclusive footprint." So it came up with this, you know, here's the rest of
9:01 the outdoor tent with the Replet logo. I did orange umbrellas because it pitched
9:04 that from their brand colors that's prevalent in the logo. And I said,
9:07 "Okay, now the last thing I want is I want to include some sort of like
9:11 outdoor stage and space." I gave it photos of past outdoor stages we had
9:15 with speakers on it and it came up with this and I was like cool. I actually
9:20 think it kind of crushed it on these mocks I wouldn't have been able to do
9:25 otherwise and it's just such a way in which like when I started presenting
9:28 this to the replet team they were like that's cool like they can visualize it
9:32 they can see it. >> Yeah. Yeah. Just to add the inside tip
9:37 for guys that might not you know for reev.art art. It is a team that built
9:41 their own image LLM. It's not the same stuff. Everyone else uses, you know,
9:46 there's a variet that they might use, but when you know when you build when
9:48 you build a lot of images and they all look like cartoons or they look silly or
9:52 they look goofy, it's not your only asset for B2B. Try Reeve. Upload
9:56 something that's similar to what you want and in plain English tell it what
10:01 you want. I think for B2B use cases, for real business stuff, the 95% chance it's
10:04 gonna be much better than what you get out of Chat GBT. I started using this. I
10:08 told Emily to use it. She didn't. And then it's just this is the kind of real
10:13 stuff that you want, not goofy cartoon looking stuff or I mean that has its
10:17 place if you want to be fun. But for B2B, use this and it's going to crush
10:21 like this looks real. It looks great. There's no excuse for those for that
10:24 goofy cartoon stuff unless that's what you want. And I don't think you know the
10:29 world has moved past that for B2B. You don't have to settle for crappy text
10:32 which we'll talk to and you don't have to settle for cartoony images. you in
10:36 fact should create great pitches for your prospects. >> Yeah. Yeah. So, how this one came about
10:45 in this use case was I Yeah. We've obviously had this journey with Replet,
10:48 but then I started to get to know their marketing team. We want to do more
10:52 marketing and so they're a sponsor for an event already, but we wanted they
10:55 were like we want to do something bigger, probably something custom at
10:59 Ster annual. And so, we started thinking through this vibe coding lab thing. I
11:04 would say Reev also is best at you can this logo. I gave it that logo, right?
11:08 Like sometimes when you put it in the other generators or LLMs, it will come
11:13 up with a logo or it will change their logo. Reev I think kind of quietly
11:19 crushes it at the text being good and if you upload logos it keeps the logos.
11:24 So that's one where I to Jason's point, I really like the professionalism of it.
11:29 It looks polished, right? So this is something that I think is sendable to
11:33 folks. So I like it for that use case. Another one is just related to marketing. You
11:40 know, we're doing all these assets for Sster London in a 10 days or whatever.
11:46 And I put into Reeve like my original concept of okay, here's what I'm kind of
11:49 thinking for all the stages. You know, we need like some backdrops. We need a
11:53 bunch of signage. And I had Ree give me, you know, all these different outputs. I like that one
11:59 looks too dry. That one is too overdone. That one's too boring. It's really good
12:02 for storyboarding, which I feel like is a good superpower of it, too, because
12:06 it's going to generate all these real realistic images, right? Give it images
12:11 of past London events. Like, I gave it the venue. I gave photos of the venue.
12:14 Like, it can actually help you picture and visualize and storyboard what you
12:18 want. And so, when I started going through that process and made this
12:20 really cool like portal looking thing, I was like, "Oh, I like that. I like that
12:24 plus a straight AI would look pretty sick." And so then we actually we ended
12:31 up I upscaled it in Adobe Photoshop has a little bit of AI. So you can take it
12:35 out of reev if it's, you know, it's fine enough digital quality, but if you're
12:38 doing anything print, you do need to have usually higher quality, higher DPI.
12:44 And so I put it into Photoshop, upscale it, gave it to Designer as a 4K asset,
12:49 all generated in Re. And I was like, this is the portal, you know, clean it
12:53 up, add Saster AI, and we got a pretty sick looking brand. That is also another great use case more
13:00 specifically for marketing kind of related to events but you guys might
13:03 even if you have a small event this is a good way to kind of quietly you know
13:07 uplevel it as well and make it look more polished and better you can use it I've
13:11 used it in emails right obviously image generation for emails that we're sending
13:15 out but just in go to market if you want it to be more you know tactical we're
13:19 using it here for both sales and marketing collateral that we're using to
13:23 drive revenue so it is something that works really well I then plugged the
13:28 image into Gamma. Gamma, if you don't know, it is a it's a I want to say newerish tool that does
13:37 content creation, specifically presentations. So, like you might say,
13:41 oh, I could do a presentation can, but yeah, you can and like I've done both
13:45 and I run tests on both side by side. Usually the gamas are just a bit better,
13:50 especially for B to B to C. Yeah, sorry. For B2B rather than B TOC like Canva is
13:55 the decks come out a little bit better. You can give it things like again like
14:00 rep I gave it replets orange. I gave it their I was like check their website for
14:06 fonts that you should use. Also look up how they talk about themselves because
14:10 you can give it the content you want but you can also prompt it. Usually the
14:14 output is pretty good. And so I like gamma a lot because we use it now to
14:19 send all of our like sales collateral, sales deck, support decks. We've
14:23 gamuted. It's easy. They're also easily sharable. So between the two tools together, you
14:30 know, you'll have to still customize the two. Like I don't use all the image
14:35 creations out of Gamma. Uh, I prefer like Gamma has built-in image creation
14:40 and I obviously still prefer like the Reeve images or ones that we have that
14:46 are actual like real images like so like we still pick and choose which ones work
14:49 better. So that's what I mean like our marketing stack is probably the most
14:53 specialized but it does help eliminate a lot of bottleneck and deal cycles,
14:56 right? You're getting them something polished. You're not waiting, you know,
15:00 a week for your designer to come in and do this personalized deck. I feel like
15:07 just elicit a much better conversation or response from folks. Like this also,
15:11 not only can this kind of uplevel your deck. So you can also send them to more
15:14 people is what I found. Like we've started sending these to pretty much
15:17 everyone. We're like we used to not do that. We used to be like here's one set
15:21 deck we have for SAS. If you're interested in sponsoring, here's the one
15:25 deck. sometimes, you know, that's not the best thing for teams to pass around
15:28 when they're like, "Okay, we're considering opting into this or if
15:31 you're trying to go to market with something more so on the marketing side.
15:36 It's again, it's not clean. It's not as polished to show like one asset that's
15:40 more generalized obviously versus something that's hyperpersonalized to
15:44 that. You've obviously that you've listened to their needs, but using the
15:47 AI, you can kind of scale that up a bit more so that you can have this sounds
15:52 across. It looks a lot better. You don't need an agency to do this and then they
15:56 can share it internally. I'll I if you use it directly in gamma versus
16:00 exporting it to like PDF or Google Glades, it'll tell you whatever people
16:03 view it. So I'll get pings all the time of you know random XYZ person at XYZ
16:09 company do this deck. I'm like yeah I didn't send it to them but they're at
16:11 the company and they're always like sharing this around. So I think that's
16:16 what you want is you want to use this to not only improve your current processes
16:20 of how you're doing these things but also just to unlock new ones so that you
16:25 can do a more hyperpersonalized scale. >> And for folks that I mean Gamma got a
16:28 lot of we've been using it for a long time. It got a lot of press recently.
16:31 They just said they crossed 100 million AR this year and raised around at two
16:36 billion. So a lot of press. But I've actually found I we've been promoting
16:39 gamma for a long time because we use it. A lot of folks they might even talk
16:42 about it. They've never used it literally. I was at the other day at an
16:46 event with the CEO of a public SAS company saying, "Ah, gamma, it's just
16:50 PowerPoint and no one will ever use that." I'm like, you know, they're going
16:53 to they already got to 100 million, my friend. There's something there. But
16:57 here's the tip. Okay, most of you haven't used Reeve.art for images. It's
17:02 all on Saster Diet Agents. Go upload something that you use and just ask it
17:06 to make it better. I bet you're going to find this is your best tool for Gamma.
17:09 If you haven't used it, don't over complicate this. Literally go into a
17:14 Google doc, write five bullets of what you want a deck to be. Okay, take those
17:18 five bullets, put it in the free version of Gamma, and watch it build a deck for
17:21 you. I bet it's the best thing you've seen. Okay, you can use it. You can make
17:25 a template you use again and again, which Amelia does, and then upload it
17:29 dynamically with data, become an AI agent expert. But that could be
17:32 intimidating for folks. If you haven't used it, don't over complicate it. Take
17:36 five bullets on anything that you're doing, give it to Gamma, and watch the
17:40 agent build a deck for you. It's pretty awesome. And then if you get excited
17:43 about that, go deeper like we have. And then you can make dynamic decks for
17:47 everybody for real. Not the same crappy static decks everyone else getting. But
17:50 you can start really simple with these tools. They don't have to be
17:53 intimidating. And I think your jaw will drop for both if you invest like five
17:57 minutes in each. Keep it simple. Invest five minutes. >> Yep.
18:05 >> Okay. Let me go to the next one. In terms of content ad automation, so we
18:11 have a lot of specialized tool in this bucket. You saw on one of the previous
18:15 slides. This is where most folks are using AI in their marketing stack.
18:23 I would say I don't think it's necessarily a bad thing that these are
18:26 all specialized. Again, like the way that I use Gamma and Reeve together,
18:32 it's like it only takes I would say 60 extra seconds to generate an image in
18:36 Reeve versus doing it natively in gamma. It comes out a lot better in my opinion.
18:40 Comes out a bit more customized. And then I port it over. So I don't I don't
18:45 think you should be scared by the amount of tools on this one slide. We do pick
18:50 and choose like the very best things and outputs and also a lot of these are
18:54 offtheshelf. So I would say for particularly in marketing and how we're
19:00 using the so far I think the next one is one of our more like enterprise tools
19:05 and solutions is you know these are all off the shelf. like Claude, Replet, Ree,
19:10 Higfield, Recall, which we use a lot for content. Opus, we're adding Mosaic for
19:13 video. Like these are all ones where they're like, you know, user
19:17 subscriptions. Like anybody on your team slash yourself could just go set up you
19:22 whatever 20 to 30 bucks a month or 10 to 30 bucks a month and try these tools and
19:27 see which ones work for you. So I think what's working well for us now is yes,
19:31 obviously we do use it for some of our cont. We have a lot of content at SAS
19:36 and prior to this that was a lot of Jason and my day was writing content.
19:42 It's still a lot of Jason's day. It's still a lot of our time. But now the
19:46 agents, I don't mean to speak for you, Jason, but I do feel like with this agent mix
19:51 you have specifically in content creation, you get there a lot faster. So
19:55 you're able to post like more advice to folks. >> Yeah, I would say what we've been able
20:00 to do is triple our content output with AI. I think that and I think the mistake
20:07 a lot of folks make is they use a lot of crappy social media tools that
20:11 regurgitate content again. So they they want thought leadership. So they spool
20:16 up a tool. It examines someone else's feed. It often examines my feed. I see
20:21 folks rewriting my content. And it sort of works because LLMs are good at
20:26 copying and regurgitating. If you just want views, I guess if you
20:32 think that's going to move the needle for your business, then generic AI tools
20:36 are fine. Okay? But what we do, which is the real powerful thing, is m is you
20:41 architect the content, you create the content, our videos, our sessions, our
20:46 posts, our ideas, and you use AI to turbocharge it to do more research for
20:51 you to go deep dive. You know, we used to that's what you really want to do is
20:55 to is for AI to be your steroids for content creation, not to create the core
21:00 nucleus. That becomes trit and boring. But that's how we've tripled it. I I
21:04 write all the if you've read Saskra for a long time, I've written most of the
21:09 content for more than a decade. Okay? But if you compare an article today this
21:14 year versus two years ago, you'll see that it's pretty similar. But there's a
21:18 lot more data. I can do a lot more research. I can and it's not just asking
21:22 claude to do the research. I can take multiple articles, three or four
21:25 articles off the internet. For example, today just before this, I wrote an
21:28 article on how venture capital has changed for funds. I took two different
21:32 data sources, one from Crunch Race and one from an LP, an investor in top funds
21:38 called Venrock that analyzed 1900 funds and I added that data to my post. Okay?
21:43 I added that data with AI and it makes it so much better. You've got to check
21:47 the work. It does take a few minutes, but AI can let you take great ideas and
21:51 make them 10 times better. That's where you get get the leverage.
21:55 >> Yep. >> I would say too, just on this, we do use
22:00 a few different tools here. They all work fairly well. But yeah, to to that
22:04 point, right, we are using it to amplify existing content that we have or or even
22:10 build up on that content. Like one thing I did for this webinar actually for last
22:16 week's and this week is I gave it the last three or four sessions that we had
22:22 done on this topic of AI our agents up to CL cuz I like better. I was like hey
22:28 given what we've already covered I don't want to keep regurgitating things like I
22:32 want to show data and claude did not have my data. I would like these are
22:36 screenshots I took. I put these slides together but it gave me a pretty good
22:40 outline. And I was like, "Okay, based on the last few talks you guys have done,
22:43 based on what you have coming up, based on where you're at this six month mark,
22:47 here's what I think you should cover that is like Sasher style actual
22:51 content." So, it gave me a really good outline. It like gave me this out like this
22:56 format of like, okay, you should go into each of the different segments of go to
23:00 market. We should talk about what's working and what's not on each side. You
23:04 should call out the tools. And it gave me ideas on like okay here maybe some
23:08 answer like it would ask me like hey is this what's working is this not what's
23:11 working okay like then maybe show this is like the next slide and so it gave me
23:15 a really good it was like a really good co-pilot for me on like just putting my
23:20 thoughts together cuz obviously now that we're doing a part two I was like I have
23:25 a lot we could cover and go off on about AI and go to market but I want to try
23:29 and make it super tactical for folks so that it's helpful and useful and it was
23:33 really good for hing that and it was I was like, "What about this topic?" It
23:36 was like, "No, like that could be its own topic. Don't go too much off the
23:40 edges." And so, yeah, it's gotten I would say really good at that. So, I helped this
23:46 outline and then I obviously did I, you know, I still wrote all the slides and
23:51 did all the I did use gamma bit and then I pulled all of our screenshots in of
23:56 our data and but now I'm also using it for the some of the stuff we're going to
23:59 do in London just again. I'm going to give it this one after today. I gave it
24:03 last week. I'm like, "Okay, now build on it again knowing that, you know, some
24:06 people in my audience would have seen these two faster AI lives and some
24:11 people wouldn't have, but also make it shorter cuz now we're together. This
24:15 will be like the 2hour mark and I think the opener at London's only 45 minutes.
24:19 What are the most valable points I should hit on?" And it's gotten pretty
24:24 good at that. So, I I think it's great for that, too, cuz that saved me a lot of time. Like it
24:29 still took me a while to obviously make this deck and put all the points
24:32 together for you guys and put all the screenshots and the data like that that
24:36 that still takes work, but it did help me organize my thoughts a lot more.
24:41 Yep. On the content repurposing, not I know you hit it. A lot of folks,
24:50 especially founders and marketers that are watching or will watch later, I find
24:55 we're all generating so much more content these days, especially video.
24:58 There's so much more pods. There's so much more everything going on. And
25:03 people are not using AI to extend the life of that content. There's a lot of
25:06 discussed on it, but I see a lot of lazy approaches. And let me tell you what we do. It It's
25:12 pretty simple. Amelia has it on this bullet point. Opus Pro get recall and
25:17 descript. I don't think we touched on the first two, did we, Ameilia?
25:19 >> No, >> but okay. So, you just did you just did
25:26 a great interview and then you stick it on your YouTube and it disappears. Okay,
25:31 great. I hope it performs. Just a few. The first one's a little you probably
25:35 know or you might not. The second one's a little more subtle, but let me tell
25:37 you what we can do with this content. The first one is stick your If you
25:41 haven't used Opus Pro, it's on our list on Saster Agents. a lot of tools, but
25:44 it's the leading tool for turning your video into clips. And listen, it can't
25:49 take boring content and make it great. But what Opus Pro is really good is take
25:54 the YouTube URL, stick give it to Opus Clip, and it will force rank the most
25:57 compelling content out of that and find you some clips and then it will just
26:01 actually automatically schedule it for you on your social media accounts on
26:05 LinkedIn, on X, on Facebook, whatever you want. It's pretty good. It will take
26:10 the if you just did a 40minute webinar, it will take the best 60 seconds or 120
26:15 seconds, clip it and let you put it right on LinkedIn where your customers
26:18 are. You should be doing this and you can queue up 5 6 8 10 of those over the
26:22 course of the month. You should be doing that with your best content or you're
26:26 kind of wasting it. How does it grade it? It uses AI. It's pretty amazing and
26:30 it there's a free version like try this is another one you can literally try in
26:34 5 minutes. Take your u take your YouTube URL and stick it in Opus Pro and see it.
26:39 It extracts the text, which is actually very easy to do. Actually, YouTube gives
26:42 you the text through the API. It's not that complicated. And then it just runs
26:46 that text through some LLM. I don't even know what it is, and says, "Find me the
26:50 best parts." When Opus first launched pre I don't know, we were using it in
26:54 Sasser London a year and a half ago. It was like magical. I'm like, "How does it
26:57 do this? How does it find the best clips? This seemed like the most
27:00 magical." And I actually invested in the company. It was so magical. So, it still
27:03 is magical, but it's now that I understand how AI works better today
27:06 with our agents, it's less magical than I thought. Extract text. It's not much
27:10 tech like these videos that even if it's 2 hours, it's not a lot of text. It's
27:13 not much for the LMS to process. Give it to the LLM and say, "Break it up into
27:17 the best two-minute chunks." It works really well. And then just and then it
27:20 just says, "Hook in your LinkedIn account. Hooked in your Twitter
27:23 account." And it just does it all for you. It's magical. So, you're wasting
27:28 your content if you don't do this. You can also ask it to make threeinut clips,
27:32 which we do too. If you have a little more energy, you can put those three
27:35 minute clips on X and LinkedIn, like the best ones for deeper dives. You'll see
27:38 Saster do that all the time. You'll see these three and four-minute clips. I
27:41 don't have time to make it. Opus makes it for us. Like, it's really good. Okay,
27:45 so what's the next? So, that's how you turn your video into clips in short.
27:49 Just do it. Opus is like there's a free version or it's 20 bucks a month or five
27:52 bucks a month for the paid, but you can try it free. Then, we use an app very
27:56 few people use called Get Recall. There's actually two apps called recall.
28:01 One does like transcription. I don't know. One is an API tons of folks use
28:06 the founders at Saster and you'll got a ton of customers out of it. It's an API.
28:09 Get recall actually just transcribes your whole internet world with AI. Like
28:13 everyone should be using this. It's just a niche app. It'll do everything. I use
28:17 it for one thing. I give it that URL for the YouTube and it instantly gives me
28:22 great summarized text. And then instead of Opus doing its own thing, I take that
28:27 text and I put it into Claude and I tell it the type of article I want to write
28:30 out of the content. This is really powerful. Okay. So, literally we're
28:34 doing this hourlong webinar right now. Okay. When it's done, I will grab the
28:40 YouTube URL and I will go to get recall and give it to it and I'll get the text.
28:43 Then I'll put it in Claude. And let's say I only want to write a SAS post on
28:48 content repurposing. I will take the transcript of this session and say,
28:52 "Claude, write me a Sasser post just on what Ameilia and I said on content
28:56 repurposing and then it can write an article just on that." Now, of course,
29:00 you've got to edit it a little bit, but it's going to be pretty good. This is
29:03 and literally, if we wanted to, we could take this session and turn it into five
29:08 or six articles by getting the text from it from Get Recall and YouTube and then
29:12 just asking Claude to write five or six great articles out of it. This will be
29:16 better than the crummy agency you asked to write a bunch of crappy articles.
29:21 Take your own content. We watch that. If you have something great from your own
29:24 events, digital events, world events, find the three or four great themes from
29:28 it and write articles just about those three or four things with the extracted
29:33 text and claude. It'll be great. Like it will be great. And this will turn you
29:37 can get 10 great clips out of your content, but actually you can get five
29:40 or six great articles if it's a really good piece of content. Don't waste that
29:44 great interview. Don't waste that the best keynote you had. Don't waste the
29:50 best session from from an event you just had. It's just a waste, right? I mean, no light
29:56 criticism, no criticism. I just did this great digital day with G2. We did it
30:00 Goddard and I did it with the co of Zenesk. Okay, it was so good. Now,
30:05 they've decided to hide it behind some whis and we do love whiskey at Saster.
30:08 we use it ourselves, but to hide it behind a link wall to capture email addresses. I
30:14 guess maybe that's the right thing to do. But because I know so much about AI
30:20 for support, I asked the CEO of Zendes so many great things. I could write five
30:24 articles out of that piece of content. We talked about pricing for AI for
30:28 support. We talked about how difficult it is to train AI agents and so how to
30:32 simplify that. That could be like four different articles that G2 and I, if
30:36 anyone from G2 wants to help, we we'll do the work. We could create five great
30:41 pieces out of that interview instead of it like just disappearing into the
30:50 >> The other thing I as you were chatting through all this
30:55 was that the a few folks were asking questions related to if there's a way to
31:00 do this more programmatically in the chat. I think what you guys mean if we're
31:06 using you know all like juice for this juices content example you just gave is
31:09 there a way you can do that automatically or are you doing that
31:12 manually now? >> Do which part man? >> Can I hear you? Is there there's no way
31:19 right now to automate like opus grabbing or recall grabbing YouTube
31:22 automatically? >> It's a great question. All these agents
31:25 are getting better. We have 20 in production. Here's the thing. This
31:30 includes replet. This includes Opus. This includes Agent Force and Artisan
31:35 and Qualified. All the tools we love to death. They automate a lot of stuff. Like they
31:42 might even automate 95% of what you used to need a team to do. They don't
31:48 automate everything. Here's the problem. As great as these tools are, they do not
31:53 enable lazy marketing. What they enable is better marketing and much more of it.
31:59 Everyone wants an autopilot. Everyone wants to buy a tool and disappear. It
32:04 does not work that way. You notice you can have crappy output. You can have
32:08 crappy LinkedIn posts. Again, where I started, none of this is full
32:11 automation. It can automate 95%. But even me, listen, I'm not like, you know,
32:16 I'm no I didn't found lovable or or cursor, but I'm a somewhat successful
32:20 founder. I'm still doing this myself at this point of my career. I'm not I but
32:24 I'm getting lots of help so I'm much more productive but I still have you
32:29 know this term maybe is overused. I'm still orchestrating these agents and
32:33 Amelia is still orchestrating her agents. So if you can't put in 20 or 30
32:38 minutes a day to do this, don't start the project. Okay? If you want to do
32:43 nothing, we can't help you. If you want to invest 20 or 30 minutes of actually
32:47 kind of fun stuff, I mean this stuff is fun. These tools are magical. If you
32:51 want to invest 20 30 minutes a day so that you could have massive output, use
32:54 this playbook. But there's nothing you can just click and forget. There there
32:59 is, but it's not going to be good enough. If you're not going to read the
33:03 text, if you're not going to decide how to take that interview with the CEO of
33:07 Zenesk and turn it into five posts, it's not going to be great. It's going to be
33:10 generic. >> Yeah, there's a few questions in the audience on how we're using it, maybe
33:16 more so for things like marketing automation style emails. So, I'll go to
33:19 this next slide. When it comes to email marketing, I am full disclosure using sales tools to
33:28 typical folks email marketing at RGTM now in November of 2025 or
33:35 whenever you're listening to this. Once there is a truly great all-in-one AI
33:40 marketing platform, I will try it. I will use it. But it doesn't exist yet.
33:46 So I have hacked some of the existing sales tool to use them for marketing but
33:52 with fairly good results. Now what we're not able to automate yet but we actually
33:57 are starting to get there and starting to kind of like lightly prototype things
34:03 and replet is I haven't solved for automating our newsletters. Like we do
34:08 these four to five newsletters a week on you know it it aggregates all this Astro
34:12 content. It's all this really great original content that you're seeing us
34:15 outputting here. We put in the newsletters, all of Jason's articles,
34:19 everything we're writing up on AI, you know, our to our agents page, everything
34:23 in there goes out to those newsletters. We're still doing that manually for all
34:28 intents purposes. So, even in today, 6 months down our AI journey, I haven't
34:34 found something truly great to automate that process. I don't think it exists yet, but if you
34:40 know one we should try, drop it in there. >> There's still a gap. There's still a
34:44 gap. Fully automating making those emails the our newsletters great isn't
34:54 We can come back to that. It's not We can go back to this the next time we do
34:56 this. >> Yeah. So, we It's like early we on saster.ai, AI, our new platform. You can
35:04 actually sign up for a different newsletter, an automated newsletter that
35:08 shows you stock quotes and news all across AI and the web and everything.
35:13 That one is fully automated and custom. So, I can see a hint of the future.
35:17 Like, it can do things our tools can't. For example, it extracts the latest
35:20 Sster video. Like, the minute we're off this one, it will go into that automated
35:24 newsletter with no work. That's so cool. And it will figure out what the best
35:29 articles are on Saster today, which AI is good at. and customize it to the
35:34 newsletter. But the full voice that Ameilia does in the newsletter where we
35:38 exert it and we talk about those learnings and we make it personal. AI is
35:42 not there yet today. But I wouldn't be surprised. We I think we'll find a tool
35:47 sometime in the next 3 or 4 months that is somewhere in the middle that it can
35:51 extract enough stuff that if you're not doing good newsletters, it's much better
35:55 than nothing, right? Because we do have these automated ones on the side,
36:01 >> but it's not there yet. It is what is interesting on marketing as you dig in
36:05 is you'll find you know so much of the energy in AI is that we see is in coding
36:12 tools obviously sales tools and like social media tools but a lot of
36:16 marketing it's still early you'd think there would be replacements for a lot of
36:21 things I think there will be next year and there's a lot of startups but as
36:24 soon as we find something great we'll do the next we'll do the next one with even
36:28 more tools but right now we're using to in many case these for point tools,
36:30 right? And >> y >> they don't do as much as we'd love them
36:36 to do. And we'll we'll check in 90 days. >> Yep. >> Specifically, when it comes to email,
36:41 what I'm doing right now is kind of hacking existing sales tools.
36:47 While we haven't found a way yet to automate the newsletters, but where I
36:51 have found, you know, some success is actually just hacking the existing AI,
36:56 I'll call them go to market tools, even though they're labeled the sales tool to
37:00 send marketing emails. And so that's what I started, you know, the webinar
37:05 with the practice of, you know, I think some of this is starting to converge and
37:09 maybe we'll see more of that. But also, I think we may start to see change in
37:13 how people interact with emails altogether. So it may not matter in the
37:18 end that it's all kind of under go to market versus sales emails and marketing
37:21 email. >> I'm already starting to see that I don't actually care anymore that some of these
37:27 emails that I'm sending for marketing are in sales tools. I don't care. I just
37:30 think of them as go to market tools now. And this is where actually this these go
37:35 to market tools have are pretty good at this because they were built for sales
37:39 and because they're built to re-engage people because sequences is basically a
37:45 marketing drip campaign. So just think about that for a second. If you're doing
37:49 sequences on an AI tool, you can probably do a marketing drip campaign.
37:54 Those are the same fundamentals in like how the AI is set up and how you want to
37:58 set up. And instead of you giving it just, you know, sales prospects that you
38:02 want it to keep sequencing, you give it a subset of your marketing contacts and
38:07 say, "Hey, okay, these are specific folks. Maybe I've narrowed them down to,
38:11 you know, you can't do everybody in your database now. It doesn't really work
38:15 well and it can't output that quickly depending on how big your database is.
38:19 So ours is really big. I can't email in the data everybody in the database even
38:23 with our 20 agents today. But what I can do is I can whittle down some of the
38:26 folks. So, what I'll do now is like this one that's here, this is a screenshot I
38:32 think from qualified, which again qualified is for all purposes a sales
38:36 tool, but I've been using it for marketing. So, I'll see in Marquetto
38:40 because it's also hooked up it's hooked up to our Marquetto and it's hooked up
38:43 to our Salesforce. It will see when people are opening emails and if they
38:49 reach a certain threshold right now for they've opened a bunch of London emails
38:52 but haven't bought a ticket, it will send them this one to one email. Now,
38:56 I'm also still sending them like, you know, the email blast of, "Hey, Sasha
39:00 London's about to sell out." I'm still doing that, but I'm using the agent to
39:04 actually do onetoone personalized marketing email to this person. I don't
39:09 know where Matthew works. I think it says here, actually, but this was, you
39:13 know, this kind of called some of that up of, okay, I noticed you've been
39:18 exploring content. It actually pulled up content that they were reading on
39:21 safer.com. I didn't tell it to do that. It just did that. It contextualized it
39:26 based on his hard interactions, saw what he was rating on saster.com, related it
39:30 back to his company, knew that he was in this campaign where he was opening our
39:33 London emails but hadn't taken an action and offered him a discount code to
39:38 Saster. This is where I feel like there is a somewhat of a evolution in marketing and
39:45 a convergence and go to market that why can't you have more specialized emails
39:51 in marketing like this? not to replace newsletters, not to replace email blast
39:55 necessarily, but to be an added layer because you can get leverage out of AI
3:44 It's a pretty good one. I wanted to call out a few things in marketing I think
3:48 that are interesting to me because I feel like for marketing in
3:52 particular, folks seem to be more behind than they are in sales or support. I
3:57 actually anecdotally don't know why that is. I don't think it's because there's a
4:02 lack of tools, which a lot of folks will point to. I don't think it's that. As
4:05 you'll see in our next few slides, there's plenty of tools we're using in
4:09 marketing and that are working well. So, I think it's just a little bit
4:12 interesting here to see in the data that, you know, most folks are just
4:17 using AI in marketing for things like messaging. Okay, fine. But that's
4:21 everyone's done that now, right? Chat TV. Doing research, I feel like, yep,
4:26 that's a little bit more in the weed. maybe a little bit more specialized but
4:30 most people have not done these phase what they're calling phase two use cases
4:34 which is actually analyzing you know marketing campaign data and spend
4:38 whether it's in-house or with third party agencies actually using it to be
4:45 creative I think I don't know where this stigma has come from but that the AI is
4:49 not that creative or that all the AI content comes out the same I feel like
4:54 those are also two schools of thought that we've kind of mythbusted Ed on and
4:59 then for things like enriching and scoring. So as we talked about a lot
5:03 last week in just how we're running some of our go to market through these agents
5:07 with sales in particular. A lot of that is still relevant to marketing. So I
5:11 think that's maybe a conversation we can have at the end of you know what does
5:15 this all mean for the two separately and then together but I think it's something
5:20 where so many of these platforms and AI maybe they were built for sales but you
5:23 can actually use for marketing which I'll show. All right. So let me let me
5:27 show you guys a few things of what we mean and then yeah we can dive into it a
5:32 bit more on what this might mean for you all. I would say right now in marketing
5:37 we have the most specialized stack and what I mean by that is like we have the
5:41 most amount of tools in marketing maybe than we have for sales. A lot of our
5:46 agents that we've deployed in sales, I'm able to deploy multiple agents on single
5:50 platforms. And so that's helped a lot in terms of like how we train into all the
5:54 agents has been different in each of those platforms and in each of those
5:58 single instances. But I'd say for marketing, we probably have the most
6:04 specialized stack right now. We have hyperfocused tools that do one thing
6:09 really well. And so in this it's been a little bit of trial and error of us trying to find you know
6:17 what are the very best ones out there and then not only which ones are the
6:21 very best ones out there but which ones will we actually stick with using and
6:27 also use for actual go to market right which ones are just okay we kind of had
6:31 fun played around for the weekend on and then never used again which ones do we
6:36 actually need now in our dayto-day so there's two I think that have become
6:41 core for us. It's both from a This one's both a sales and marketing perspective, but I've used
6:47 it for both use cases. This is a really great one at making collateral. So, just
6:52 go to market collateral, whether that's sales collateral, marketing collateral.
6:56 The two apps we use the most right now are going to be Gamma and Reeve. I think
7:00 the next slide is Higsfield. We use those a lot heavily. I put these this
7:07 slide here. This is an actual sign I sent replet. But this is a custom. You'll see I
7:14 picked this slide because it has a few custom photos on it. The photos were
7:19 made by Reeve. So where you see these guys like vibe coding outside. I told
7:22 Reeve, you know, hey, I'm thinking about doing like a vibe coding camp or summit
7:27 or something. Vibe coding lab. It also came up with that name for me. A vibe
7:32 coding lab at Saster Annual next year. This is basically a pitch I wanted to do
7:35 with our marketing team. I gave it actual photos of Santorano. I was like,
7:39 "Here's what our setup looks like. Here's what the tents look like outside.
7:43 Here's what people, you know, kind of look like in SAS. So, just so you have
7:47 the a grounding, I would say for the agent to know what to output on. That also will help it not be
7:54 as generic. I feel like where Reef kind of kicks butt over Nano Banana or some
8:00 of the other or you know chat GBT or Sora is you can upload an image to those
8:05 and I feel like most people are just Gibbly themselves or maybe like a Pixar
8:09 version of themselves. Reev is really good at doing mockups. Like it I don't
8:14 think it was intended to be its superpower. It's really good at doing
8:18 stuff like this where like I used to have to ask our designer, "Hey, can you
8:22 do a quick mockup of, you know, the Replet logo in its head, kind of make it
8:26 look real like people are sitting in it." One, that takes really long when a
8:31 manual designer does it. Two, because I gave it reference images. Reef was like,
8:35 this was a first shot image. I was like, "That one's pretty good." I was like, I
8:39 like that one. It looks like our tent that we have outside. There's people
8:42 they're viating on the screens. I told it make sure they're by building on the
8:47 screen. And so that's pretty cool. And so I had it do a couple more. I was
8:50 like, okay, what are other things I want to conceptualize for this potential
8:53 space that Replet's going to do in its disaster. Um I said, "Okay, I want to be
8:57 an exclusive footprint." So it came up with this, you know, here's the rest of
9:01 the outdoor tent with the Replet logo. I did orange umbrellas because it pitched
9:04 that from their brand colors that's prevalent in the logo. And I said,
9:07 "Okay, now the last thing I want is I want to include some sort of like
9:11 outdoor stage and space." I gave it photos of past outdoor stages we had
9:15 with speakers on it and it came up with this and I was like cool. I actually
9:20 think it kind of crushed it on these mocks I wouldn't have been able to do
9:25 otherwise and it's just such a way in which like when I started presenting
9:28 this to the replet team they were like that's cool like they can visualize it
9:32 they can see it. >> Yeah. Yeah. Just to add the inside tip
9:37 for guys that might not you know for reev.art art. It is a team that built
9:41 their own image LLM. It's not the same stuff. Everyone else uses, you know,
9:46 there's a variet that they might use, but when you know when you build when
9:48 you build a lot of images and they all look like cartoons or they look silly or
9:52 they look goofy, it's not your only asset for B2B. Try Reeve. Upload
9:56 something that's similar to what you want and in plain English tell it what
10:01 you want. I think for B2B use cases, for real business stuff, the 95% chance it's
10:04 gonna be much better than what you get out of Chat GBT. I started using this. I
10:08 told Emily to use it. She didn't. And then it's just this is the kind of real
10:13 stuff that you want, not goofy cartoon looking stuff or I mean that has its
10:17 place if you want to be fun. But for B2B, use this and it's going to crush
10:21 like this looks real. It looks great. There's no excuse for those for that
10:24 goofy cartoon stuff unless that's what you want. And I don't think you know the
10:29 world has moved past that for B2B. You don't have to settle for crappy text
10:32 which we'll talk to and you don't have to settle for cartoony images. you in
10:36 fact should create great pitches for your prospects. >> Yeah. Yeah. So, how this one came about
10:45 in this use case was I Yeah. We've obviously had this journey with Replet,
10:48 but then I started to get to know their marketing team. We want to do more
10:52 marketing and so they're a sponsor for an event already, but we wanted they
10:55 were like we want to do something bigger, probably something custom at
10:59 Ster annual. And so, we started thinking through this vibe coding lab thing. I
11:04 would say Reev also is best at you can this logo. I gave it that logo, right?
11:08 Like sometimes when you put it in the other generators or LLMs, it will come
11:13 up with a logo or it will change their logo. Reev I think kind of quietly
11:19 crushes it at the text being good and if you upload logos it keeps the logos.
11:24 So that's one where I to Jason's point, I really like the professionalism of it.
11:29 It looks polished, right? So this is something that I think is sendable to
11:33 folks. So I like it for that use case. Another one is just related to marketing. You
11:40 know, we're doing all these assets for Sster London in a 10 days or whatever.
11:46 And I put into Reeve like my original concept of okay, here's what I'm kind of
11:49 thinking for all the stages. You know, we need like some backdrops. We need a
11:53 bunch of signage. And I had Ree give me, you know, all these different outputs. I like that one
11:59 looks too dry. That one is too overdone. That one's too boring. It's really good
12:02 for storyboarding, which I feel like is a good superpower of it, too, because
12:06 it's going to generate all these real realistic images, right? Give it images
12:11 of past London events. Like, I gave it the venue. I gave photos of the venue.
12:14 Like, it can actually help you picture and visualize and storyboard what you
12:18 want. And so, when I started going through that process and made this
12:20 really cool like portal looking thing, I was like, "Oh, I like that. I like that
12:24 plus a straight AI would look pretty sick." And so then we actually we ended
12:31 up I upscaled it in Adobe Photoshop has a little bit of AI. So you can take it
12:35 out of reev if it's, you know, it's fine enough digital quality, but if you're
12:38 doing anything print, you do need to have usually higher quality, higher DPI.
12:44 And so I put it into Photoshop, upscale it, gave it to Designer as a 4K asset,
12:49 all generated in Re. And I was like, this is the portal, you know, clean it
12:53 up, add Saster AI, and we got a pretty sick looking brand. That is also another great use case more
13:00 specifically for marketing kind of related to events but you guys might
13:03 even if you have a small event this is a good way to kind of quietly you know
13:07 uplevel it as well and make it look more polished and better you can use it I've
13:11 used it in emails right obviously image generation for emails that we're sending
13:15 out but just in go to market if you want it to be more you know tactical we're
13:19 using it here for both sales and marketing collateral that we're using to
13:23 drive revenue so it is something that works really well I then plugged the
13:28 image into Gamma. Gamma, if you don't know, it is a it's a I want to say newerish tool that does
13:37 content creation, specifically presentations. So, like you might say,
13:41 oh, I could do a presentation can, but yeah, you can and like I've done both
13:45 and I run tests on both side by side. Usually the gamas are just a bit better,
13:50 especially for B to B to C. Yeah, sorry. For B2B rather than B TOC like Canva is
13:55 the decks come out a little bit better. You can give it things like again like
14:00 rep I gave it replets orange. I gave it their I was like check their website for
14:06 fonts that you should use. Also look up how they talk about themselves because
14:10 you can give it the content you want but you can also prompt it. Usually the
14:14 output is pretty good. And so I like gamma a lot because we use it now to
14:19 send all of our like sales collateral, sales deck, support decks. We've
14:23 gamuted. It's easy. They're also easily sharable. So between the two tools together, you
14:30 know, you'll have to still customize the two. Like I don't use all the image
14:35 creations out of Gamma. Uh, I prefer like Gamma has built-in image creation
14:40 and I obviously still prefer like the Reeve images or ones that we have that
14:46 are actual like real images like so like we still pick and choose which ones work
14:49 better. So that's what I mean like our marketing stack is probably the most
14:53 specialized but it does help eliminate a lot of bottleneck and deal cycles,
14:56 right? You're getting them something polished. You're not waiting, you know,
15:00 a week for your designer to come in and do this personalized deck. I feel like
15:07 just elicit a much better conversation or response from folks. Like this also,
15:11 not only can this kind of uplevel your deck. So you can also send them to more
15:14 people is what I found. Like we've started sending these to pretty much
15:17 everyone. We're like we used to not do that. We used to be like here's one set
15:21 deck we have for SAS. If you're interested in sponsoring, here's the one
15:25 deck. sometimes, you know, that's not the best thing for teams to pass around
15:28 when they're like, "Okay, we're considering opting into this or if
15:31 you're trying to go to market with something more so on the marketing side.
15:36 It's again, it's not clean. It's not as polished to show like one asset that's
15:40 more generalized obviously versus something that's hyperpersonalized to
15:44 that. You've obviously that you've listened to their needs, but using the
15:47 AI, you can kind of scale that up a bit more so that you can have this sounds
15:52 across. It looks a lot better. You don't need an agency to do this and then they
15:56 can share it internally. I'll I if you use it directly in gamma versus
16:00 exporting it to like PDF or Google Glades, it'll tell you whatever people
16:03 view it. So I'll get pings all the time of you know random XYZ person at XYZ
16:09 company do this deck. I'm like yeah I didn't send it to them but they're at
16:11 the company and they're always like sharing this around. So I think that's
16:16 what you want is you want to use this to not only improve your current processes
16:20 of how you're doing these things but also just to unlock new ones so that you
16:25 can do a more hyperpersonalized scale. >> And for folks that I mean Gamma got a
16:28 lot of we've been using it for a long time. It got a lot of press recently.
16:31 They just said they crossed 100 million AR this year and raised around at two
16:36 billion. So a lot of press. But I've actually found I we've been promoting
16:39 gamma for a long time because we use it. A lot of folks they might even talk
16:42 about it. They've never used it literally. I was at the other day at an
16:46 event with the CEO of a public SAS company saying, "Ah, gamma, it's just
16:50 PowerPoint and no one will ever use that." I'm like, you know, they're going
16:53 to they already got to 100 million, my friend. There's something there. But
16:57 here's the tip. Okay, most of you haven't used Reeve.art for images. It's
17:02 all on Saster Diet Agents. Go upload something that you use and just ask it
17:06 to make it better. I bet you're going to find this is your best tool for Gamma.
17:09 If you haven't used it, don't over complicate this. Literally go into a
17:14 Google doc, write five bullets of what you want a deck to be. Okay, take those
17:18 five bullets, put it in the free version of Gamma, and watch it build a deck for
17:21 you. I bet it's the best thing you've seen. Okay, you can use it. You can make
17:25 a template you use again and again, which Amelia does, and then upload it
17:29 dynamically with data, become an AI agent expert. But that could be
17:32 intimidating for folks. If you haven't used it, don't over complicate it. Take
17:36 five bullets on anything that you're doing, give it to Gamma, and watch the
17:40 agent build a deck for you. It's pretty awesome. And then if you get excited
17:43 about that, go deeper like we have. And then you can make dynamic decks for
17:47 everybody for real. Not the same crappy static decks everyone else getting. But
17:50 you can start really simple with these tools. They don't have to be
17:53 intimidating. And I think your jaw will drop for both if you invest like five
17:57 minutes in each. Keep it simple. Invest five minutes. >> Yep.
18:05 >> Okay. Let me go to the next one. In terms of content ad automation, so we
18:11 have a lot of specialized tool in this bucket. You saw on one of the previous
18:15 slides. This is where most folks are using AI in their marketing stack.
18:23 I would say I don't think it's necessarily a bad thing that these are
18:26 all specialized. Again, like the way that I use Gamma and Reeve together,
18:32 it's like it only takes I would say 60 extra seconds to generate an image in
18:36 Reeve versus doing it natively in gamma. It comes out a lot better in my opinion.
18:40 Comes out a bit more customized. And then I port it over. So I don't I don't
18:45 think you should be scared by the amount of tools on this one slide. We do pick
18:50 and choose like the very best things and outputs and also a lot of these are
18:54 offtheshelf. So I would say for particularly in marketing and how we're
19:00 using the so far I think the next one is one of our more like enterprise tools
19:05 and solutions is you know these are all off the shelf. like Claude, Replet, Ree,
19:10 Higfield, Recall, which we use a lot for content. Opus, we're adding Mosaic for
19:13 video. Like these are all ones where they're like, you know, user
19:17 subscriptions. Like anybody on your team slash yourself could just go set up you
19:22 whatever 20 to 30 bucks a month or 10 to 30 bucks a month and try these tools and
19:27 see which ones work for you. So I think what's working well for us now is yes,
19:31 obviously we do use it for some of our cont. We have a lot of content at SAS
19:36 and prior to this that was a lot of Jason and my day was writing content.
19:42 It's still a lot of Jason's day. It's still a lot of our time. But now the
19:46 agents, I don't mean to speak for you, Jason, but I do feel like with this agent mix
19:51 you have specifically in content creation, you get there a lot faster. So
19:55 you're able to post like more advice to folks. >> Yeah, I would say what we've been able
20:00 to do is triple our content output with AI. I think that and I think the mistake
20:07 a lot of folks make is they use a lot of crappy social media tools that
20:11 regurgitate content again. So they they want thought leadership. So they spool
20:16 up a tool. It examines someone else's feed. It often examines my feed. I see
20:21 folks rewriting my content. And it sort of works because LLMs are good at
20:26 copying and regurgitating. If you just want views, I guess if you
20:32 think that's going to move the needle for your business, then generic AI tools
20:36 are fine. Okay? But what we do, which is the real powerful thing, is m is you
20:41 architect the content, you create the content, our videos, our sessions, our
20:46 posts, our ideas, and you use AI to turbocharge it to do more research for
20:51 you to go deep dive. You know, we used to that's what you really want to do is
20:55 to is for AI to be your steroids for content creation, not to create the core
21:00 nucleus. That becomes trit and boring. But that's how we've tripled it. I I
21:04 write all the if you've read Saskra for a long time, I've written most of the
21:09 content for more than a decade. Okay? But if you compare an article today this
21:14 year versus two years ago, you'll see that it's pretty similar. But there's a
21:18 lot more data. I can do a lot more research. I can and it's not just asking
21:22 claude to do the research. I can take multiple articles, three or four
21:25 articles off the internet. For example, today just before this, I wrote an
21:28 article on how venture capital has changed for funds. I took two different
21:32 data sources, one from Crunch Race and one from an LP, an investor in top funds
21:38 called Venrock that analyzed 1900 funds and I added that data to my post. Okay?
21:43 I added that data with AI and it makes it so much better. You've got to check
21:47 the work. It does take a few minutes, but AI can let you take great ideas and
21:51 make them 10 times better. That's where you get get the leverage.
21:55 >> Yep. >> I would say too, just on this, we do use
22:00 a few different tools here. They all work fairly well. But yeah, to to that
22:04 point, right, we are using it to amplify existing content that we have or or even
22:10 build up on that content. Like one thing I did for this webinar actually for last
22:16 week's and this week is I gave it the last three or four sessions that we had
22:22 done on this topic of AI our agents up to CL cuz I like better. I was like hey
22:28 given what we've already covered I don't want to keep regurgitating things like I
22:32 want to show data and claude did not have my data. I would like these are
22:36 screenshots I took. I put these slides together but it gave me a pretty good
22:40 outline. And I was like, "Okay, based on the last few talks you guys have done,
22:43 based on what you have coming up, based on where you're at this six month mark,
22:47 here's what I think you should cover that is like Sasher style actual
22:51 content." So, it gave me a really good outline. It like gave me this out like this
22:56 format of like, okay, you should go into each of the different segments of go to
23:00 market. We should talk about what's working and what's not on each side. You
23:04 should call out the tools. And it gave me ideas on like okay here maybe some
23:08 answer like it would ask me like hey is this what's working is this not what's
23:11 working okay like then maybe show this is like the next slide and so it gave me
23:15 a really good it was like a really good co-pilot for me on like just putting my
23:20 thoughts together cuz obviously now that we're doing a part two I was like I have
23:25 a lot we could cover and go off on about AI and go to market but I want to try
23:29 and make it super tactical for folks so that it's helpful and useful and it was
23:33 really good for hing that and it was I was like, "What about this topic?" It
23:36 was like, "No, like that could be its own topic. Don't go too much off the
23:40 edges." And so, yeah, it's gotten I would say really good at that. So, I helped this
23:46 outline and then I obviously did I, you know, I still wrote all the slides and
23:51 did all the I did use gamma bit and then I pulled all of our screenshots in of
23:56 our data and but now I'm also using it for the some of the stuff we're going to
23:59 do in London just again. I'm going to give it this one after today. I gave it
24:03 last week. I'm like, "Okay, now build on it again knowing that, you know, some
24:06 people in my audience would have seen these two faster AI lives and some
24:11 people wouldn't have, but also make it shorter cuz now we're together. This
24:15 will be like the 2hour mark and I think the opener at London's only 45 minutes.
24:19 What are the most valable points I should hit on?" And it's gotten pretty
24:24 good at that. So, I I think it's great for that, too, cuz that saved me a lot of time. Like it
24:29 still took me a while to obviously make this deck and put all the points
24:32 together for you guys and put all the screenshots and the data like that that
24:36 that still takes work, but it did help me organize my thoughts a lot more.
24:41 Yep. On the content repurposing, not I know you hit it. A lot of folks,
24:50 especially founders and marketers that are watching or will watch later, I find
24:55 we're all generating so much more content these days, especially video.
24:58 There's so much more pods. There's so much more everything going on. And
25:03 people are not using AI to extend the life of that content. There's a lot of
25:06 discussed on it, but I see a lot of lazy approaches. And let me tell you what we do. It It's
25:12 pretty simple. Amelia has it on this bullet point. Opus Pro get recall and
25:17 descript. I don't think we touched on the first two, did we, Ameilia?
25:19 >> No, >> but okay. So, you just did you just did
25:26 a great interview and then you stick it on your YouTube and it disappears. Okay,
25:31 great. I hope it performs. Just a few. The first one's a little you probably
25:35 know or you might not. The second one's a little more subtle, but let me tell
25:37 you what we can do with this content. The first one is stick your If you
25:41 haven't used Opus Pro, it's on our list on Saster Agents. a lot of tools, but
25:44 it's the leading tool for turning your video into clips. And listen, it can't
25:49 take boring content and make it great. But what Opus Pro is really good is take
25:54 the YouTube URL, stick give it to Opus Clip, and it will force rank the most
25:57 compelling content out of that and find you some clips and then it will just
26:01 actually automatically schedule it for you on your social media accounts on
26:05 LinkedIn, on X, on Facebook, whatever you want. It's pretty good. It will take
26:10 the if you just did a 40minute webinar, it will take the best 60 seconds or 120
26:15 seconds, clip it and let you put it right on LinkedIn where your customers
26:18 are. You should be doing this and you can queue up 5 6 8 10 of those over the
26:22 course of the month. You should be doing that with your best content or you're
26:26 kind of wasting it. How does it grade it? It uses AI. It's pretty amazing and
26:30 it there's a free version like try this is another one you can literally try in
26:34 5 minutes. Take your u take your YouTube URL and stick it in Opus Pro and see it.
26:39 It extracts the text, which is actually very easy to do. Actually, YouTube gives
26:42 you the text through the API. It's not that complicated. And then it just runs
26:46 that text through some LLM. I don't even know what it is, and says, "Find me the
26:50 best parts." When Opus first launched pre I don't know, we were using it in
26:54 Sasser London a year and a half ago. It was like magical. I'm like, "How does it
26:57 do this? How does it find the best clips? This seemed like the most
27:00 magical." And I actually invested in the company. It was so magical. So, it still
27:03 is magical, but it's now that I understand how AI works better today
27:06 with our agents, it's less magical than I thought. Extract text. It's not much
27:10 tech like these videos that even if it's 2 hours, it's not a lot of text. It's
27:13 not much for the LMS to process. Give it to the LLM and say, "Break it up into
27:17 the best two-minute chunks." It works really well. And then just and then it
27:20 just says, "Hook in your LinkedIn account. Hooked in your Twitter
27:23 account." And it just does it all for you. It's magical. So, you're wasting
27:28 your content if you don't do this. You can also ask it to make threeinut clips,
27:32 which we do too. If you have a little more energy, you can put those three
27:35 minute clips on X and LinkedIn, like the best ones for deeper dives. You'll see
27:38 Saster do that all the time. You'll see these three and four-minute clips. I
27:41 don't have time to make it. Opus makes it for us. Like, it's really good. Okay,
27:45 so what's the next? So, that's how you turn your video into clips in short.
27:49 Just do it. Opus is like there's a free version or it's 20 bucks a month or five
27:52 bucks a month for the paid, but you can try it free. Then, we use an app very
27:56 few people use called Get Recall. There's actually two apps called recall.
28:01 One does like transcription. I don't know. One is an API tons of folks use
28:06 the founders at Saster and you'll got a ton of customers out of it. It's an API.
28:09 Get recall actually just transcribes your whole internet world with AI. Like
28:13 everyone should be using this. It's just a niche app. It'll do everything. I use
28:17 it for one thing. I give it that URL for the YouTube and it instantly gives me
28:22 great summarized text. And then instead of Opus doing its own thing, I take that
28:27 text and I put it into Claude and I tell it the type of article I want to write
28:30 out of the content. This is really powerful. Okay. So, literally we're
28:34 doing this hourlong webinar right now. Okay. When it's done, I will grab the
28:40 YouTube URL and I will go to get recall and give it to it and I'll get the text.
28:43 Then I'll put it in Claude. And let's say I only want to write a SAS post on
28:48 content repurposing. I will take the transcript of this session and say,
28:52 "Claude, write me a Sasser post just on what Ameilia and I said on content
28:56 repurposing and then it can write an article just on that." Now, of course,
29:00 you've got to edit it a little bit, but it's going to be pretty good. This is
29:03 and literally, if we wanted to, we could take this session and turn it into five
29:08 or six articles by getting the text from it from Get Recall and YouTube and then
29:12 just asking Claude to write five or six great articles out of it. This will be
29:16 better than the crummy agency you asked to write a bunch of crappy articles.
29:21 Take your own content. We watch that. If you have something great from your own
29:24 events, digital events, world events, find the three or four great themes from
29:28 it and write articles just about those three or four things with the extracted
29:33 text and claude. It'll be great. Like it will be great. And this will turn you
29:37 can get 10 great clips out of your content, but actually you can get five
29:40 or six great articles if it's a really good piece of content. Don't waste that
29:44 great interview. Don't waste that the best keynote you had. Don't waste the
29:50 best session from from an event you just had. It's just a waste, right? I mean, no light
29:56 criticism, no criticism. I just did this great digital day with G2. We did it
30:00 Goddard and I did it with the co of Zenesk. Okay, it was so good. Now,
30:05 they've decided to hide it behind some whis and we do love whiskey at Saster.
30:08 we use it ourselves, but to hide it behind a link wall to capture email addresses. I
30:14 guess maybe that's the right thing to do. But because I know so much about AI
30:20 for support, I asked the CEO of Zendes so many great things. I could write five
30:24 articles out of that piece of content. We talked about pricing for AI for
30:28 support. We talked about how difficult it is to train AI agents and so how to
30:32 simplify that. That could be like four different articles that G2 and I, if
30:36 anyone from G2 wants to help, we we'll do the work. We could create five great
30:41 pieces out of that interview instead of it like just disappearing into the
30:50 >> The other thing I as you were chatting through all this
30:55 was that the a few folks were asking questions related to if there's a way to
31:00 do this more programmatically in the chat. I think what you guys mean if we're
31:06 using you know all like juice for this juices content example you just gave is
31:09 there a way you can do that automatically or are you doing that
31:12 manually now? >> Do which part man? >> Can I hear you? Is there there's no way
31:19 right now to automate like opus grabbing or recall grabbing YouTube
31:22 automatically? >> It's a great question. All these agents
31:25 are getting better. We have 20 in production. Here's the thing. This
31:30 includes replet. This includes Opus. This includes Agent Force and Artisan
31:35 and Qualified. All the tools we love to death. They automate a lot of stuff. Like they
31:42 might even automate 95% of what you used to need a team to do. They don't
31:48 automate everything. Here's the problem. As great as these tools are, they do not
31:53 enable lazy marketing. What they enable is better marketing and much more of it.
31:59 Everyone wants an autopilot. Everyone wants to buy a tool and disappear. It
32:04 does not work that way. You notice you can have crappy output. You can have
32:08 crappy LinkedIn posts. Again, where I started, none of this is full
32:11 automation. It can automate 95%. But even me, listen, I'm not like, you know,
32:16 I'm no I didn't found lovable or or cursor, but I'm a somewhat successful
32:20 founder. I'm still doing this myself at this point of my career. I'm not I but
32:24 I'm getting lots of help so I'm much more productive but I still have you
32:29 know this term maybe is overused. I'm still orchestrating these agents and
32:33 Amelia is still orchestrating her agents. So if you can't put in 20 or 30
32:38 minutes a day to do this, don't start the project. Okay? If you want to do
32:43 nothing, we can't help you. If you want to invest 20 or 30 minutes of actually
32:47 kind of fun stuff, I mean this stuff is fun. These tools are magical. If you
32:51 want to invest 20 30 minutes a day so that you could have massive output, use
32:54 this playbook. But there's nothing you can just click and forget. There there
32:59 is, but it's not going to be good enough. If you're not going to read the
33:03 text, if you're not going to decide how to take that interview with the CEO of
33:07 Zenesk and turn it into five posts, it's not going to be great. It's going to be
33:10 generic. >> Yeah, there's a few questions in the audience on how we're using it, maybe
33:16 more so for things like marketing automation style emails. So, I'll go to
33:19 this next slide. When it comes to email marketing, I am full disclosure using sales tools to
33:28 typical folks email marketing at RGTM now in November of 2025 or
33:35 whenever you're listening to this. Once there is a truly great all-in-one AI
33:40 marketing platform, I will try it. I will use it. But it doesn't exist yet.
33:46 So I have hacked some of the existing sales tool to use them for marketing but
33:52 with fairly good results. Now what we're not able to automate yet but we actually
33:57 are starting to get there and starting to kind of like lightly prototype things
34:03 and replet is I haven't solved for automating our newsletters. Like we do
34:08 these four to five newsletters a week on you know it it aggregates all this Astro
34:12 content. It's all this really great original content that you're seeing us
34:15 outputting here. We put in the newsletters, all of Jason's articles,
34:19 everything we're writing up on AI, you know, our to our agents page, everything
34:23 in there goes out to those newsletters. We're still doing that manually for all
34:28 intents purposes. So, even in today, 6 months down our AI journey, I haven't
34:34 found something truly great to automate that process. I don't think it exists yet, but if you
34:40 know one we should try, drop it in there. >> There's still a gap. There's still a
34:44 gap. Fully automating making those emails the our newsletters great isn't
34:54 We can come back to that. It's not We can go back to this the next time we do
34:56 this. >> Yeah. So, we It's like early we on saster.ai, AI, our new platform. You can
35:04 actually sign up for a different newsletter, an automated newsletter that
35:08 shows you stock quotes and news all across AI and the web and everything.
35:13 That one is fully automated and custom. So, I can see a hint of the future.
35:17 Like, it can do things our tools can't. For example, it extracts the latest
35:20 Sster video. Like, the minute we're off this one, it will go into that automated
35:24 newsletter with no work. That's so cool. And it will figure out what the best
35:29 articles are on Saster today, which AI is good at. and customize it to the
35:34 newsletter. But the full voice that Ameilia does in the newsletter where we
35:38 exert it and we talk about those learnings and we make it personal. AI is
35:42 not there yet today. But I wouldn't be surprised. We I think we'll find a tool
35:47 sometime in the next 3 or 4 months that is somewhere in the middle that it can
35:51 extract enough stuff that if you're not doing good newsletters, it's much better
35:55 than nothing, right? Because we do have these automated ones on the side,
36:01 >> but it's not there yet. It is what is interesting on marketing as you dig in
36:05 is you'll find you know so much of the energy in AI is that we see is in coding
36:12 tools obviously sales tools and like social media tools but a lot of
36:16 marketing it's still early you'd think there would be replacements for a lot of
36:21 things I think there will be next year and there's a lot of startups but as
36:24 soon as we find something great we'll do the next we'll do the next one with even
36:28 more tools but right now we're using to in many case these for point tools,
36:30 right? And >> y >> they don't do as much as we'd love them
36:36 to do. And we'll we'll check in 90 days. >> Yep. >> Specifically, when it comes to email,
36:41 what I'm doing right now is kind of hacking existing sales tools.
36:47 While we haven't found a way yet to automate the newsletters, but where I
36:51 have found, you know, some success is actually just hacking the existing AI,
36:56 I'll call them go to market tools, even though they're labeled the sales tool to
37:00 send marketing emails. And so that's what I started, you know, the webinar
37:05 with the practice of, you know, I think some of this is starting to converge and
37:09 maybe we'll see more of that. But also, I think we may start to see change in
37:13 how people interact with emails altogether. So it may not matter in the
37:18 end that it's all kind of under go to market versus sales emails and marketing
37:21 email. >> I'm already starting to see that I don't actually care anymore that some of these
37:27 emails that I'm sending for marketing are in sales tools. I don't care. I just
37:30 think of them as go to market tools now. And this is where actually this these go
37:35 to market tools have are pretty good at this because they were built for sales
37:39 and because they're built to re-engage people because sequences is basically a
37:45 marketing drip campaign. So just think about that for a second. If you're doing
37:49 sequences on an AI tool, you can probably do a marketing drip campaign.
37:54 Those are the same fundamentals in like how the AI is set up and how you want to
37:58 set up. And instead of you giving it just, you know, sales prospects that you
38:02 want it to keep sequencing, you give it a subset of your marketing contacts and
38:07 say, "Hey, okay, these are specific folks. Maybe I've narrowed them down to,
38:11 you know, you can't do everybody in your database now. It doesn't really work
38:15 well and it can't output that quickly depending on how big your database is.
38:19 So ours is really big. I can't email in the data everybody in the database even
38:23 with our 20 agents today. But what I can do is I can whittle down some of the
38:26 folks. So, what I'll do now is like this one that's here, this is a screenshot I
38:32 think from qualified, which again qualified is for all purposes a sales
38:36 tool, but I've been using it for marketing. So, I'll see in Marquetto
38:40 because it's also hooked up it's hooked up to our Marquetto and it's hooked up
38:43 to our Salesforce. It will see when people are opening emails and if they
38:49 reach a certain threshold right now for they've opened a bunch of London emails
38:52 but haven't bought a ticket, it will send them this one to one email. Now,
38:56 I'm also still sending them like, you know, the email blast of, "Hey, Sasha
39:00 London's about to sell out." I'm still doing that, but I'm using the agent to
39:04 actually do onetoone personalized marketing email to this person. I don't
39:09 know where Matthew works. I think it says here, actually, but this was, you
39:13 know, this kind of called some of that up of, okay, I noticed you've been
39:18 exploring content. It actually pulled up content that they were reading on
39:21 safer.com. I didn't tell it to do that. It just did that. It contextualized it
39:26 based on his hard interactions, saw what he was rating on saster.com, related it
39:30 back to his company, knew that he was in this campaign where he was opening our
39:33 London emails but hadn't taken an action and offered him a discount code to
39:38 Saster. This is where I feel like there is a somewhat of a evolution in marketing and
39:45 a convergence and go to market that why can't you have more specialized emails
39:51 in marketing like this? not to replace newsletters, not to replace email blast
39:55 necessarily, but to be an added layer because you can get leverage out of AI
40:00 to have a more customized email to this person once they meet a certain
40:04 criteria. And basically, I treat these marketing emails again as drip
40:07 campaigns. And so far, they've been working really well. This is fairly
40:11 early days. I put a screenshot here. This was like 3,000 emails I've sent
40:19 in this one campaign just on qualified. That's not counting any of the, you
40:22 know, that's not counting on the inbound conversations that had or inbound
40:26 people. It's following up with. This is just for this specific campaign of
40:30 people who met this criteria. You'll see here open rates fairly high, right? This
40:35 is on par with what we've seen in like our agent force. Some of these people
40:37 also go into agent force. I'm doing like an AB test, right? I'm split testing
40:42 them just to see which one works better. Right now, about the same, which is
40:45 great. like it's high since they're about the same, but we're getting fairly
40:52 good open rates and then the clickthrough rates will be, you know,
40:55 obviously a little bit lower. That's fine. It's I don't expect that many
40:59 replies also on this email. It's giving them a link. They're they don't really
41:02 need to reply. If they buy a ticket, they pay cool that'll if they don't come
41:07 to me in this interaction, they only talk to my agent. That is a okay.
41:13 You know, bounce rate fairly low. So early days on this one cuz we've just
41:17 started to add this into the mix. But this is just such an interesting thing
41:22 just for all the backbone things of you know it being this is technically a
41:26 sales tool but you know sales tools can do really good sequences. So why I was
41:30 like why couldn't it do a really good drip campaign if it has all the right
41:33 inputs? And so this is where I found kind of a way to fill that gap that Jason was
41:39 talking about in the meantime in the interim. this is what I'm doing right
41:43 now to still get good output in marketing and kind of fill that gap for
41:46 now. >> Yeah, it is I want to keep getting through the content before we're out of
41:51 time. But the you're you we hear a lot of folks when we talk about our ASR saying oh no
42:00 that's those are marketing tools right the there AI is leading to convergence
42:05 between sales and marketing but in fact it is even leading at some level to
42:09 convergence between sales marketing and support as the agents can do more
42:16 >> they the lines get blurry so today that means Amelia is hacking what is commonly
42:21 a sales tool I guess right to do marketing emails to do personalized
42:25 marketing emails instead of a marketing tool that we instead of Marquetto or
42:30 HubSpot right that's a hack today it feels like a hack but it won't be a hack
42:34 next year the these will converge and like I I do know I've done a lot of
42:37 investments in the SAS side of e-commerce where there's high volume and
42:42 already tons of AI and already there there is no difference between sales
42:45 marketing and support for a variety of reasons we're going to see the same
42:48 thing because imagine you want to go buy a necklace and you go to a website, you
42:53 don't want to talk to support versus sales. And you and marketing might need
42:57 to market to you instantly so you get a discount so you don't leave. And so
43:00 these are all blending. Your skills are going to need to blend and your tools
43:05 are going to blend. So that's a for right now. Hack the tools that you buy.
43:10 Don't And if it's a sales tool and you think it's marketing or it's marketing,
43:13 you think it's sales, that's a new world. These lines are kind of get blurry.
43:21 I'll say the interesting thing is too is because it's blurry. It's almost better
43:27 for the output of it. It's actually better for me that some of this is in a
43:30 quote unquote sales tool and now I just call it a go to market tool because it
43:35 already knows all these things, right? I'm like, "Okay, our qualified is there
43:39 on the website." It already knows that. Like I don't have to be like, "Okay, I
43:42 have to, you know, back in the day to put Marquetto Munchkins on everything to
43:46 see if they went to your website." I'm like, qualify already knows that.
43:50 Artisan does that, too. Like they Salesforce knows, you know, and agent
43:53 force knows everything your Salesforce knows. Like, you already have all this
43:58 really great data and you're kind of using these go to market tools that
44:02 already have, again, they were built for sales, but really can be easily hacked
44:07 and applied to go to market. I actually think it's better. I don't
44:11 mind that it's merging and converging. I think it's leading us to send better
44:16 marketing emails. again because we're sending so many hyperpersonalized ones. We I'll have
44:23 like higher quality conversations with folks too. Like even when they do reply,
44:26 this one's low. Obviously, artist like artisans higher, Asian persons higher on
44:31 replies, but this one also has a link, right? So, I'm not comparing apples to
44:34 apples directly because those two are more where we've programmed them, where
44:37 we want them to reply. This one gives them a link, so they don't necessarily
44:41 need to reply. But the replies I do get just across the board are just some are
44:46 hyper personalized, hyper custom. The thing I run into actually and issues. I
44:49 sometimes can't reply to everyone like directly. Like sometimes they'll be
44:52 like, "Hey, I already bought my ticket, but hey, what do you think about XYV
44:55 tool you guys mentioned on the women or this or that?" And then like I'll answer
44:58 once and then they ask a bunch of follow questions. I'm like, "Oh no,
45:03 real Amelia cannot keep up with all of Amelia's agents." And so that's where
45:08 actually my biggest pitfall is is not being able to keep up with all of our
45:12 agents. It's not, you know, again, finding the right tools aside and maybe
45:16 hacking tools for now, not the biggest problem we have. So that's an interesting nuance, too.
45:22 But I don't I actually don't mind that these are converging. I think it's for
45:26 the best. I think we'll see it lead to maybe good changes within marketing
45:29 where, you know, you mentioned newsletters. I would love a really great
45:32 tool for that. But I also see where you know I'd love a tool actually that in a
45:37 you know in a 6 month state I could see this happening of it's a newsletter but
45:42 it's hyper customized right like why can't a newsletter be one to one in the
45:47 same way that this email is one to one >> it should be yeah it should be right
45:51 like the way Jason was >> millions of emails but we should they
45:54 should be customized >> they should be yeah okay if you're
45:57 reading sro.com and I see you already read that article I'm not going to put
46:00 it in your next newsletter like you already saw I'm going to put something
46:03 else related to it. That's like a follow-up one. Like that's where I see
46:07 this all kind of converging and going. It doesn't quite exist there yet, but
46:11 I'm actually excited for it to get there because I feel like actually it will be
46:15 better to if you're truly adding value, I feel like this is a good thing.
46:21 >> Yeah. I mean, when we have AI for both newsletters and drip marketing, that's
46:24 what we need is for drip marketing. So if we know whatever types of content
46:28 you've interacted with, it's not very difficult for AI to customize the
46:31 further content or the further campaigns you get. Well, they there may be tools
46:36 out there that do it or claim it, but the capabilities are limited, but it's
46:40 not hard. This should be there soon. Is your every journey should be customized
46:43 by AI. There's no reason for it not to be. And every newsletter should be I
46:47 mean we forget out your drip. No one should be sending the same drips. Even a
46:50 segment of drip. No one should be sending like two or three segments of
46:53 drips. There should be a million drips that draw from all of your content like
46:58 dynamically. And our newsletters, we should be sending a million different
47:01 newsletters, not a mill not not three different newsletters.
47:05 And we know what you want. If you're a sales professional, maybe you don't want
47:08 to read about Jason's vibe coding anymore. Maybe it's driving you nuts. If
47:12 you're really into our AI content, maybe you don't want to hear about all the
47:15 headaches hiring VP of sales. You just don't care. But everyone's getting this
47:21 mix of content of go to market AI BC funding and we AI should be smart enough
47:25 to change all that and then we're all going to see our response rates go way
47:27 up. >> We're all going to see it go way up. >> We're looking for that one. We're look
47:33 we're in the hunt. We're in the hunt for that. We're in the hunt for that.
47:36 >> I'll do a quick I'll do a quick closing thought and then Jason let's hit
47:40 anything you miss and then we can do some Q&A for a few minutes over.
47:44 Wait, this is interesting. thing. I was at like a Salesforce event yesterday
47:51 up in Oakland and just with folks that I was talking to is, you know, well, and
47:56 because folks know we have multiple agents now and I kind of talked about
47:59 the story. They were like, are you ever worried that like your
48:04 agents don't talk to each other? And I was like, no. Because even though our
48:09 stack is hyper personalized and specialized like you just saw like I use
48:12 qualified for some things artisan for others our marketing stack we just
48:17 showed is so desperate of you know 10 different pools the staff we have a
48:22 Jason AI that's deli we have an Amelia AI that's qualified I'm literally doing a voice and video
48:29 test with them later I have a London agent I'm rolling out on agent force
48:32 where you can call it and ask it what sessions to go to. That's freaking cool.
48:37 And someone was like, "Aren't you worried that these agents won't talk to
48:41 each other?" I'm like, "Okay, let me give you an example of a shift example
48:45 where I had a worse interaction than talking to maybe one to three agents."
48:48 Like, I had to call Verizon the other day cuz the Wi-Fi at the office was
48:53 down. And the experience was so horrible. Like, I had one, I had to call this
49:01 number. There was no chat. There was no like AI troubleshooting of, hey, I saw
49:07 your, you know, internet's down and I'm logged into my account. You should know
49:09 my internet is already down by the time I get there. And so I got routed to five
4:45 creative I think I don't know where this stigma has come from but that the AI is
4:49 not that creative or that all the AI content comes out the same I feel like
4:54 those are also two schools of thought that we've kind of mythbusted Ed on and
4:59 then for things like enriching and scoring. So as we talked about a lot
5:03 last week in just how we're running some of our go to market through these agents
5:07 with sales in particular. A lot of that is still relevant to marketing. So I
5:11 think that's maybe a conversation we can have at the end of you know what does
5:15 this all mean for the two separately and then together but I think it's something
5:20 where so many of these platforms and AI maybe they were built for sales but you
5:23 can actually use for marketing which I'll show. All right. So let me let me
5:27 show you guys a few things of what we mean and then yeah we can dive into it a
5:32 bit more on what this might mean for you all. I would say right now in marketing
5:37 we have the most specialized stack and what I mean by that is like we have the
5:41 most amount of tools in marketing maybe than we have for sales. A lot of our
5:46 agents that we've deployed in sales, I'm able to deploy multiple agents on single
5:50 platforms. And so that's helped a lot in terms of like how we train into all the
5:54 agents has been different in each of those platforms and in each of those
5:58 single instances. But I'd say for marketing, we probably have the most
6:04 specialized stack right now. We have hyperfocused tools that do one thing
6:09 really well. And so in this it's been a little bit of trial and error of us trying to find you know
6:17 what are the very best ones out there and then not only which ones are the
6:21 very best ones out there but which ones will we actually stick with using and
6:27 also use for actual go to market right which ones are just okay we kind of had
6:31 fun played around for the weekend on and then never used again which ones do we
6:36 actually need now in our dayto-day so there's two I think that have become
6:41 core for us. It's both from a This one's both a sales and marketing perspective, but I've used
6:47 it for both use cases. This is a really great one at making collateral. So, just
6:52 go to market collateral, whether that's sales collateral, marketing collateral.
6:56 The two apps we use the most right now are going to be Gamma and Reeve. I think
7:00 the next slide is Higsfield. We use those a lot heavily. I put these this
7:07 slide here. This is an actual sign I sent replet. But this is a custom. You'll see I
7:14 picked this slide because it has a few custom photos on it. The photos were
7:19 made by Reeve. So where you see these guys like vibe coding outside. I told
7:22 Reeve, you know, hey, I'm thinking about doing like a vibe coding camp or summit
7:27 or something. Vibe coding lab. It also came up with that name for me. A vibe
7:32 coding lab at Saster Annual next year. This is basically a pitch I wanted to do
7:35 with our marketing team. I gave it actual photos of Santorano. I was like,
7:39 "Here's what our setup looks like. Here's what the tents look like outside.
7:43 Here's what people, you know, kind of look like in SAS. So, just so you have
7:47 the a grounding, I would say for the agent to know what to output on. That also will help it not be
7:54 as generic. I feel like where Reef kind of kicks butt over Nano Banana or some
8:00 of the other or you know chat GBT or Sora is you can upload an image to those
8:05 and I feel like most people are just Gibbly themselves or maybe like a Pixar
8:09 version of themselves. Reev is really good at doing mockups. Like it I don't
8:14 think it was intended to be its superpower. It's really good at doing
8:18 stuff like this where like I used to have to ask our designer, "Hey, can you
8:22 do a quick mockup of, you know, the Replet logo in its head, kind of make it
8:26 look real like people are sitting in it." One, that takes really long when a
8:31 manual designer does it. Two, because I gave it reference images. Reef was like,
8:35 this was a first shot image. I was like, "That one's pretty good." I was like, I
8:39 like that one. It looks like our tent that we have outside. There's people
8:42 they're viating on the screens. I told it make sure they're by building on the
8:47 screen. And so that's pretty cool. And so I had it do a couple more. I was
8:50 like, okay, what are other things I want to conceptualize for this potential
8:53 space that Replet's going to do in its disaster. Um I said, "Okay, I want to be
8:57 an exclusive footprint." So it came up with this, you know, here's the rest of
9:01 the outdoor tent with the Replet logo. I did orange umbrellas because it pitched
9:04 that from their brand colors that's prevalent in the logo. And I said,
9:07 "Okay, now the last thing I want is I want to include some sort of like
9:11 outdoor stage and space." I gave it photos of past outdoor stages we had
9:15 with speakers on it and it came up with this and I was like cool. I actually
9:20 think it kind of crushed it on these mocks I wouldn't have been able to do
9:25 otherwise and it's just such a way in which like when I started presenting
9:28 this to the replet team they were like that's cool like they can visualize it
9:32 they can see it. >> Yeah. Yeah. Just to add the inside tip
9:37 for guys that might not you know for reev.art art. It is a team that built
9:41 their own image LLM. It's not the same stuff. Everyone else uses, you know,
9:46 there's a variet that they might use, but when you know when you build when
9:48 you build a lot of images and they all look like cartoons or they look silly or
9:52 they look goofy, it's not your only asset for B2B. Try Reeve. Upload
9:56 something that's similar to what you want and in plain English tell it what
10:01 you want. I think for B2B use cases, for real business stuff, the 95% chance it's
10:04 gonna be much better than what you get out of Chat GBT. I started using this. I
10:08 told Emily to use it. She didn't. And then it's just this is the kind of real
10:13 stuff that you want, not goofy cartoon looking stuff or I mean that has its
10:17 place if you want to be fun. But for B2B, use this and it's going to crush
10:21 like this looks real. It looks great. There's no excuse for those for that
10:24 goofy cartoon stuff unless that's what you want. And I don't think you know the
10:29 world has moved past that for B2B. You don't have to settle for crappy text
10:32 which we'll talk to and you don't have to settle for cartoony images. you in
10:36 fact should create great pitches for your prospects. >> Yeah. Yeah. So, how this one came about
10:45 in this use case was I Yeah. We've obviously had this journey with Replet,
10:48 but then I started to get to know their marketing team. We want to do more
10:52 marketing and so they're a sponsor for an event already, but we wanted they
10:55 were like we want to do something bigger, probably something custom at
10:59 Ster annual. And so, we started thinking through this vibe coding lab thing. I
11:04 would say Reev also is best at you can this logo. I gave it that logo, right?
11:08 Like sometimes when you put it in the other generators or LLMs, it will come
11:13 up with a logo or it will change their logo. Reev I think kind of quietly
11:19 crushes it at the text being good and if you upload logos it keeps the logos.
11:24 So that's one where I to Jason's point, I really like the professionalism of it.
11:29 It looks polished, right? So this is something that I think is sendable to
11:33 folks. So I like it for that use case. Another one is just related to marketing. You
11:40 know, we're doing all these assets for Sster London in a 10 days or whatever.
11:46 And I put into Reeve like my original concept of okay, here's what I'm kind of
11:49 thinking for all the stages. You know, we need like some backdrops. We need a
11:53 bunch of signage. And I had Ree give me, you know, all these different outputs. I like that one
11:59 looks too dry. That one is too overdone. That one's too boring. It's really good
12:02 for storyboarding, which I feel like is a good superpower of it, too, because
12:06 it's going to generate all these real realistic images, right? Give it images
12:11 of past London events. Like, I gave it the venue. I gave photos of the venue.
12:14 Like, it can actually help you picture and visualize and storyboard what you
12:18 want. And so, when I started going through that process and made this
12:20 really cool like portal looking thing, I was like, "Oh, I like that. I like that
12:24 plus a straight AI would look pretty sick." And so then we actually we ended
12:31 up I upscaled it in Adobe Photoshop has a little bit of AI. So you can take it
12:35 out of reev if it's, you know, it's fine enough digital quality, but if you're
12:38 doing anything print, you do need to have usually higher quality, higher DPI.
12:44 And so I put it into Photoshop, upscale it, gave it to Designer as a 4K asset,
12:49 all generated in Re. And I was like, this is the portal, you know, clean it
12:53 up, add Saster AI, and we got a pretty sick looking brand. That is also another great use case more
13:00 specifically for marketing kind of related to events but you guys might
13:03 even if you have a small event this is a good way to kind of quietly you know
13:07 uplevel it as well and make it look more polished and better you can use it I've
13:11 used it in emails right obviously image generation for emails that we're sending
13:15 out but just in go to market if you want it to be more you know tactical we're
13:19 using it here for both sales and marketing collateral that we're using to
13:23 drive revenue so it is something that works really well I then plugged the
13:28 image into Gamma. Gamma, if you don't know, it is a it's a I want to say newerish tool that does
13:37 content creation, specifically presentations. So, like you might say,
13:41 oh, I could do a presentation can, but yeah, you can and like I've done both
13:45 and I run tests on both side by side. Usually the gamas are just a bit better,
13:50 especially for B to B to C. Yeah, sorry. For B2B rather than B TOC like Canva is
13:55 the decks come out a little bit better. You can give it things like again like
14:00 rep I gave it replets orange. I gave it their I was like check their website for
14:06 fonts that you should use. Also look up how they talk about themselves because
14:10 you can give it the content you want but you can also prompt it. Usually the
14:14 output is pretty good. And so I like gamma a lot because we use it now to
14:19 send all of our like sales collateral, sales deck, support decks. We've
14:23 gamuted. It's easy. They're also easily sharable. So between the two tools together, you
14:30 know, you'll have to still customize the two. Like I don't use all the image
14:35 creations out of Gamma. Uh, I prefer like Gamma has built-in image creation
14:40 and I obviously still prefer like the Reeve images or ones that we have that
14:46 are actual like real images like so like we still pick and choose which ones work
14:49 better. So that's what I mean like our marketing stack is probably the most
14:53 specialized but it does help eliminate a lot of bottleneck and deal cycles,
14:56 right? You're getting them something polished. You're not waiting, you know,
15:00 a week for your designer to come in and do this personalized deck. I feel like
15:07 just elicit a much better conversation or response from folks. Like this also,
15:11 not only can this kind of uplevel your deck. So you can also send them to more
15:14 people is what I found. Like we've started sending these to pretty much
15:17 everyone. We're like we used to not do that. We used to be like here's one set
15:21 deck we have for SAS. If you're interested in sponsoring, here's the one
15:25 deck. sometimes, you know, that's not the best thing for teams to pass around
15:28 when they're like, "Okay, we're considering opting into this or if
15:31 you're trying to go to market with something more so on the marketing side.
15:36 It's again, it's not clean. It's not as polished to show like one asset that's
15:40 more generalized obviously versus something that's hyperpersonalized to
15:44 that. You've obviously that you've listened to their needs, but using the
15:47 AI, you can kind of scale that up a bit more so that you can have this sounds
15:52 across. It looks a lot better. You don't need an agency to do this and then they
15:56 can share it internally. I'll I if you use it directly in gamma versus
16:00 exporting it to like PDF or Google Glades, it'll tell you whatever people
16:03 view it. So I'll get pings all the time of you know random XYZ person at XYZ
16:09 company do this deck. I'm like yeah I didn't send it to them but they're at
16:11 the company and they're always like sharing this around. So I think that's
16:16 what you want is you want to use this to not only improve your current processes
16:20 of how you're doing these things but also just to unlock new ones so that you
16:25 can do a more hyperpersonalized scale. >> And for folks that I mean Gamma got a
16:28 lot of we've been using it for a long time. It got a lot of press recently.
16:31 They just said they crossed 100 million AR this year and raised around at two
16:36 billion. So a lot of press. But I've actually found I we've been promoting
16:39 gamma for a long time because we use it. A lot of folks they might even talk
16:42 about it. They've never used it literally. I was at the other day at an
16:46 event with the CEO of a public SAS company saying, "Ah, gamma, it's just
16:50 PowerPoint and no one will ever use that." I'm like, you know, they're going
16:53 to they already got to 100 million, my friend. There's something there. But
16:57 here's the tip. Okay, most of you haven't used Reeve.art for images. It's
17:02 all on Saster Diet Agents. Go upload something that you use and just ask it
17:06 to make it better. I bet you're going to find this is your best tool for Gamma.
17:09 If you haven't used it, don't over complicate this. Literally go into a
17:14 Google doc, write five bullets of what you want a deck to be. Okay, take those
17:18 five bullets, put it in the free version of Gamma, and watch it build a deck for
17:21 you. I bet it's the best thing you've seen. Okay, you can use it. You can make
17:25 a template you use again and again, which Amelia does, and then upload it
17:29 dynamically with data, become an AI agent expert. But that could be
17:32 intimidating for folks. If you haven't used it, don't over complicate it. Take
17:36 five bullets on anything that you're doing, give it to Gamma, and watch the
17:40 agent build a deck for you. It's pretty awesome. And then if you get excited
17:43 about that, go deeper like we have. And then you can make dynamic decks for
17:47 everybody for real. Not the same crappy static decks everyone else getting. But
17:50 you can start really simple with these tools. They don't have to be
17:53 intimidating. And I think your jaw will drop for both if you invest like five
17:57 minutes in each. Keep it simple. Invest five minutes. >> Yep.
18:05 >> Okay. Let me go to the next one. In terms of content ad automation, so we
18:11 have a lot of specialized tool in this bucket. You saw on one of the previous
18:15 slides. This is where most folks are using AI in their marketing stack.
18:23 I would say I don't think it's necessarily a bad thing that these are
18:26 all specialized. Again, like the way that I use Gamma and Reeve together,
18:32 it's like it only takes I would say 60 extra seconds to generate an image in
18:36 Reeve versus doing it natively in gamma. It comes out a lot better in my opinion.
18:40 Comes out a bit more customized. And then I port it over. So I don't I don't
18:45 think you should be scared by the amount of tools on this one slide. We do pick
18:50 and choose like the very best things and outputs and also a lot of these are
18:54 offtheshelf. So I would say for particularly in marketing and how we're
19:00 using the so far I think the next one is one of our more like enterprise tools
19:05 and solutions is you know these are all off the shelf. like Claude, Replet, Ree,
19:10 Higfield, Recall, which we use a lot for content. Opus, we're adding Mosaic for
19:13 video. Like these are all ones where they're like, you know, user
19:17 subscriptions. Like anybody on your team slash yourself could just go set up you
19:22 whatever 20 to 30 bucks a month or 10 to 30 bucks a month and try these tools and
19:27 see which ones work for you. So I think what's working well for us now is yes,
19:31 obviously we do use it for some of our cont. We have a lot of content at SAS
19:36 and prior to this that was a lot of Jason and my day was writing content.
19:42 It's still a lot of Jason's day. It's still a lot of our time. But now the
19:46 agents, I don't mean to speak for you, Jason, but I do feel like with this agent mix
19:51 you have specifically in content creation, you get there a lot faster. So
19:55 you're able to post like more advice to folks. >> Yeah, I would say what we've been able
20:00 to do is triple our content output with AI. I think that and I think the mistake
20:07 a lot of folks make is they use a lot of crappy social media tools that
20:11 regurgitate content again. So they they want thought leadership. So they spool
20:16 up a tool. It examines someone else's feed. It often examines my feed. I see
20:21 folks rewriting my content. And it sort of works because LLMs are good at
20:26 copying and regurgitating. If you just want views, I guess if you
20:32 think that's going to move the needle for your business, then generic AI tools
20:36 are fine. Okay? But what we do, which is the real powerful thing, is m is you
20:41 architect the content, you create the content, our videos, our sessions, our
20:46 posts, our ideas, and you use AI to turbocharge it to do more research for
20:51 you to go deep dive. You know, we used to that's what you really want to do is
20:55 to is for AI to be your steroids for content creation, not to create the core
21:00 nucleus. That becomes trit and boring. But that's how we've tripled it. I I
21:04 write all the if you've read Saskra for a long time, I've written most of the
21:09 content for more than a decade. Okay? But if you compare an article today this
21:14 year versus two years ago, you'll see that it's pretty similar. But there's a
21:18 lot more data. I can do a lot more research. I can and it's not just asking
21:22 claude to do the research. I can take multiple articles, three or four
21:25 articles off the internet. For example, today just before this, I wrote an
21:28 article on how venture capital has changed for funds. I took two different
21:32 data sources, one from Crunch Race and one from an LP, an investor in top funds
21:38 called Venrock that analyzed 1900 funds and I added that data to my post. Okay?
21:43 I added that data with AI and it makes it so much better. You've got to check
21:47 the work. It does take a few minutes, but AI can let you take great ideas and
21:51 make them 10 times better. That's where you get get the leverage.
21:55 >> Yep. >> I would say too, just on this, we do use
22:00 a few different tools here. They all work fairly well. But yeah, to to that
22:04 point, right, we are using it to amplify existing content that we have or or even
22:10 build up on that content. Like one thing I did for this webinar actually for last
22:16 week's and this week is I gave it the last three or four sessions that we had
22:22 done on this topic of AI our agents up to CL cuz I like better. I was like hey
22:28 given what we've already covered I don't want to keep regurgitating things like I
22:32 want to show data and claude did not have my data. I would like these are
22:36 screenshots I took. I put these slides together but it gave me a pretty good
22:40 outline. And I was like, "Okay, based on the last few talks you guys have done,
22:43 based on what you have coming up, based on where you're at this six month mark,
22:47 here's what I think you should cover that is like Sasher style actual
22:51 content." So, it gave me a really good outline. It like gave me this out like this
22:56 format of like, okay, you should go into each of the different segments of go to
23:00 market. We should talk about what's working and what's not on each side. You
23:04 should call out the tools. And it gave me ideas on like okay here maybe some
23:08 answer like it would ask me like hey is this what's working is this not what's
23:11 working okay like then maybe show this is like the next slide and so it gave me
23:15 a really good it was like a really good co-pilot for me on like just putting my
23:20 thoughts together cuz obviously now that we're doing a part two I was like I have
23:25 a lot we could cover and go off on about AI and go to market but I want to try
23:29 and make it super tactical for folks so that it's helpful and useful and it was
23:33 really good for hing that and it was I was like, "What about this topic?" It
23:36 was like, "No, like that could be its own topic. Don't go too much off the
23:40 edges." And so, yeah, it's gotten I would say really good at that. So, I helped this
23:46 outline and then I obviously did I, you know, I still wrote all the slides and
23:51 did all the I did use gamma bit and then I pulled all of our screenshots in of
23:56 our data and but now I'm also using it for the some of the stuff we're going to
23:59 do in London just again. I'm going to give it this one after today. I gave it
24:03 last week. I'm like, "Okay, now build on it again knowing that, you know, some
24:06 people in my audience would have seen these two faster AI lives and some
24:11 people wouldn't have, but also make it shorter cuz now we're together. This
24:15 will be like the 2hour mark and I think the opener at London's only 45 minutes.
24:19 What are the most valable points I should hit on?" And it's gotten pretty
24:24 good at that. So, I I think it's great for that, too, cuz that saved me a lot of time. Like it
24:29 still took me a while to obviously make this deck and put all the points
24:32 together for you guys and put all the screenshots and the data like that that
24:36 that still takes work, but it did help me organize my thoughts a lot more.
24:41 Yep. On the content repurposing, not I know you hit it. A lot of folks,
24:50 especially founders and marketers that are watching or will watch later, I find
24:55 we're all generating so much more content these days, especially video.
24:58 There's so much more pods. There's so much more everything going on. And
25:03 people are not using AI to extend the life of that content. There's a lot of
25:06 discussed on it, but I see a lot of lazy approaches. And let me tell you what we do. It It's
25:12 pretty simple. Amelia has it on this bullet point. Opus Pro get recall and
25:17 descript. I don't think we touched on the first two, did we, Ameilia?
25:19 >> No, >> but okay. So, you just did you just did
25:26 a great interview and then you stick it on your YouTube and it disappears. Okay,
25:31 great. I hope it performs. Just a few. The first one's a little you probably
25:35 know or you might not. The second one's a little more subtle, but let me tell
25:37 you what we can do with this content. The first one is stick your If you
25:41 haven't used Opus Pro, it's on our list on Saster Agents. a lot of tools, but
25:44 it's the leading tool for turning your video into clips. And listen, it can't
25:49 take boring content and make it great. But what Opus Pro is really good is take
25:54 the YouTube URL, stick give it to Opus Clip, and it will force rank the most
25:57 compelling content out of that and find you some clips and then it will just
26:01 actually automatically schedule it for you on your social media accounts on
26:05 LinkedIn, on X, on Facebook, whatever you want. It's pretty good. It will take
26:10 the if you just did a 40minute webinar, it will take the best 60 seconds or 120
26:15 seconds, clip it and let you put it right on LinkedIn where your customers
26:18 are. You should be doing this and you can queue up 5 6 8 10 of those over the
26:22 course of the month. You should be doing that with your best content or you're
26:26 kind of wasting it. How does it grade it? It uses AI. It's pretty amazing and
26:30 it there's a free version like try this is another one you can literally try in
26:34 5 minutes. Take your u take your YouTube URL and stick it in Opus Pro and see it.
26:39 It extracts the text, which is actually very easy to do. Actually, YouTube gives
26:42 you the text through the API. It's not that complicated. And then it just runs
26:46 that text through some LLM. I don't even know what it is, and says, "Find me the
26:50 best parts." When Opus first launched pre I don't know, we were using it in
26:54 Sasser London a year and a half ago. It was like magical. I'm like, "How does it
26:57 do this? How does it find the best clips? This seemed like the most
27:00 magical." And I actually invested in the company. It was so magical. So, it still
27:03 is magical, but it's now that I understand how AI works better today
27:06 with our agents, it's less magical than I thought. Extract text. It's not much
27:10 tech like these videos that even if it's 2 hours, it's not a lot of text. It's
27:13 not much for the LMS to process. Give it to the LLM and say, "Break it up into
27:17 the best two-minute chunks." It works really well. And then just and then it
27:20 just says, "Hook in your LinkedIn account. Hooked in your Twitter
27:23 account." And it just does it all for you. It's magical. So, you're wasting
27:28 your content if you don't do this. You can also ask it to make threeinut clips,
27:32 which we do too. If you have a little more energy, you can put those three
27:35 minute clips on X and LinkedIn, like the best ones for deeper dives. You'll see
27:38 Saster do that all the time. You'll see these three and four-minute clips. I
27:41 don't have time to make it. Opus makes it for us. Like, it's really good. Okay,
27:45 so what's the next? So, that's how you turn your video into clips in short.
27:49 Just do it. Opus is like there's a free version or it's 20 bucks a month or five
27:52 bucks a month for the paid, but you can try it free. Then, we use an app very
27:56 few people use called Get Recall. There's actually two apps called recall.
28:01 One does like transcription. I don't know. One is an API tons of folks use
28:06 the founders at Saster and you'll got a ton of customers out of it. It's an API.
28:09 Get recall actually just transcribes your whole internet world with AI. Like
28:13 everyone should be using this. It's just a niche app. It'll do everything. I use
28:17 it for one thing. I give it that URL for the YouTube and it instantly gives me
28:22 great summarized text. And then instead of Opus doing its own thing, I take that
28:27 text and I put it into Claude and I tell it the type of article I want to write
28:30 out of the content. This is really powerful. Okay. So, literally we're
28:34 doing this hourlong webinar right now. Okay. When it's done, I will grab the
28:40 YouTube URL and I will go to get recall and give it to it and I'll get the text.
28:43 Then I'll put it in Claude. And let's say I only want to write a SAS post on
28:48 content repurposing. I will take the transcript of this session and say,
28:52 "Claude, write me a Sasser post just on what Ameilia and I said on content
28:56 repurposing and then it can write an article just on that." Now, of course,
29:00 you've got to edit it a little bit, but it's going to be pretty good. This is
29:03 and literally, if we wanted to, we could take this session and turn it into five
29:08 or six articles by getting the text from it from Get Recall and YouTube and then
29:12 just asking Claude to write five or six great articles out of it. This will be
29:16 better than the crummy agency you asked to write a bunch of crappy articles.
29:21 Take your own content. We watch that. If you have something great from your own
29:24 events, digital events, world events, find the three or four great themes from
29:28 it and write articles just about those three or four things with the extracted
29:33 text and claude. It'll be great. Like it will be great. And this will turn you
29:37 can get 10 great clips out of your content, but actually you can get five
29:40 or six great articles if it's a really good piece of content. Don't waste that
29:44 great interview. Don't waste that the best keynote you had. Don't waste the
29:50 best session from from an event you just had. It's just a waste, right? I mean, no light
29:56 criticism, no criticism. I just did this great digital day with G2. We did it
30:00 Goddard and I did it with the co of Zenesk. Okay, it was so good. Now,
30:05 they've decided to hide it behind some whis and we do love whiskey at Saster.
30:08 we use it ourselves, but to hide it behind a link wall to capture email addresses. I
30:14 guess maybe that's the right thing to do. But because I know so much about AI
30:20 for support, I asked the CEO of Zendes so many great things. I could write five
30:24 articles out of that piece of content. We talked about pricing for AI for
30:28 support. We talked about how difficult it is to train AI agents and so how to
30:32 simplify that. That could be like four different articles that G2 and I, if
30:36 anyone from G2 wants to help, we we'll do the work. We could create five great
30:41 pieces out of that interview instead of it like just disappearing into the
30:50 >> The other thing I as you were chatting through all this
30:55 was that the a few folks were asking questions related to if there's a way to
31:00 do this more programmatically in the chat. I think what you guys mean if we're
31:06 using you know all like juice for this juices content example you just gave is
31:09 there a way you can do that automatically or are you doing that
31:12 manually now? >> Do which part man? >> Can I hear you? Is there there's no way
31:19 right now to automate like opus grabbing or recall grabbing YouTube
31:22 automatically? >> It's a great question. All these agents
31:25 are getting better. We have 20 in production. Here's the thing. This
31:30 includes replet. This includes Opus. This includes Agent Force and Artisan
31:35 and Qualified. All the tools we love to death. They automate a lot of stuff. Like they
31:42 might even automate 95% of what you used to need a team to do. They don't
31:48 automate everything. Here's the problem. As great as these tools are, they do not
31:53 enable lazy marketing. What they enable is better marketing and much more of it.
31:59 Everyone wants an autopilot. Everyone wants to buy a tool and disappear. It
32:04 does not work that way. You notice you can have crappy output. You can have
32:08 crappy LinkedIn posts. Again, where I started, none of this is full
32:11 automation. It can automate 95%. But even me, listen, I'm not like, you know,
32:16 I'm no I didn't found lovable or or cursor, but I'm a somewhat successful
32:20 founder. I'm still doing this myself at this point of my career. I'm not I but
32:24 I'm getting lots of help so I'm much more productive but I still have you
32:29 know this term maybe is overused. I'm still orchestrating these agents and
32:33 Amelia is still orchestrating her agents. So if you can't put in 20 or 30
32:38 minutes a day to do this, don't start the project. Okay? If you want to do
32:43 nothing, we can't help you. If you want to invest 20 or 30 minutes of actually
32:47 kind of fun stuff, I mean this stuff is fun. These tools are magical. If you
32:51 want to invest 20 30 minutes a day so that you could have massive output, use
32:54 this playbook. But there's nothing you can just click and forget. There there
32:59 is, but it's not going to be good enough. If you're not going to read the
33:03 text, if you're not going to decide how to take that interview with the CEO of
33:07 Zenesk and turn it into five posts, it's not going to be great. It's going to be
33:10 generic. >> Yeah, there's a few questions in the audience on how we're using it, maybe
33:16 more so for things like marketing automation style emails. So, I'll go to
33:19 this next slide. When it comes to email marketing, I am full disclosure using sales tools to
33:28 typical folks email marketing at RGTM now in November of 2025 or
33:35 whenever you're listening to this. Once there is a truly great all-in-one AI
33:40 marketing platform, I will try it. I will use it. But it doesn't exist yet.
33:46 So I have hacked some of the existing sales tool to use them for marketing but
33:52 with fairly good results. Now what we're not able to automate yet but we actually
33:57 are starting to get there and starting to kind of like lightly prototype things
34:03 and replet is I haven't solved for automating our newsletters. Like we do
34:08 these four to five newsletters a week on you know it it aggregates all this Astro
34:12 content. It's all this really great original content that you're seeing us
34:15 outputting here. We put in the newsletters, all of Jason's articles,
34:19 everything we're writing up on AI, you know, our to our agents page, everything
34:23 in there goes out to those newsletters. We're still doing that manually for all
34:28 intents purposes. So, even in today, 6 months down our AI journey, I haven't
34:34 found something truly great to automate that process. I don't think it exists yet, but if you
34:40 know one we should try, drop it in there. >> There's still a gap. There's still a
34:44 gap. Fully automating making those emails the our newsletters great isn't
34:54 We can come back to that. It's not We can go back to this the next time we do
34:56 this. >> Yeah. So, we It's like early we on saster.ai, AI, our new platform. You can
35:04 actually sign up for a different newsletter, an automated newsletter that
35:08 shows you stock quotes and news all across AI and the web and everything.
35:13 That one is fully automated and custom. So, I can see a hint of the future.
35:17 Like, it can do things our tools can't. For example, it extracts the latest
35:20 Sster video. Like, the minute we're off this one, it will go into that automated
35:24 newsletter with no work. That's so cool. And it will figure out what the best
35:29 articles are on Saster today, which AI is good at. and customize it to the
35:34 newsletter. But the full voice that Ameilia does in the newsletter where we
35:38 exert it and we talk about those learnings and we make it personal. AI is
35:42 not there yet today. But I wouldn't be surprised. We I think we'll find a tool
35:47 sometime in the next 3 or 4 months that is somewhere in the middle that it can
35:51 extract enough stuff that if you're not doing good newsletters, it's much better
35:55 than nothing, right? Because we do have these automated ones on the side,
36:01 >> but it's not there yet. It is what is interesting on marketing as you dig in
36:05 is you'll find you know so much of the energy in AI is that we see is in coding
36:12 tools obviously sales tools and like social media tools but a lot of
36:16 marketing it's still early you'd think there would be replacements for a lot of
36:21 things I think there will be next year and there's a lot of startups but as
36:24 soon as we find something great we'll do the next we'll do the next one with even
36:28 more tools but right now we're using to in many case these for point tools,
36:30 right? And >> y >> they don't do as much as we'd love them
36:36 to do. And we'll we'll check in 90 days. >> Yep. >> Specifically, when it comes to email,
36:41 what I'm doing right now is kind of hacking existing sales tools.
36:47 While we haven't found a way yet to automate the newsletters, but where I
36:51 have found, you know, some success is actually just hacking the existing AI,
36:56 I'll call them go to market tools, even though they're labeled the sales tool to
37:00 send marketing emails. And so that's what I started, you know, the webinar
37:05 with the practice of, you know, I think some of this is starting to converge and
37:09 maybe we'll see more of that. But also, I think we may start to see change in
37:13 how people interact with emails altogether. So it may not matter in the
37:18 end that it's all kind of under go to market versus sales emails and marketing
37:21 email. >> I'm already starting to see that I don't actually care anymore that some of these
37:27 emails that I'm sending for marketing are in sales tools. I don't care. I just
37:30 think of them as go to market tools now. And this is where actually this these go
37:35 to market tools have are pretty good at this because they were built for sales
37:39 and because they're built to re-engage people because sequences is basically a
37:45 marketing drip campaign. So just think about that for a second. If you're doing
37:49 sequences on an AI tool, you can probably do a marketing drip campaign.
37:54 Those are the same fundamentals in like how the AI is set up and how you want to
37:58 set up. And instead of you giving it just, you know, sales prospects that you
38:02 want it to keep sequencing, you give it a subset of your marketing contacts and
38:07 say, "Hey, okay, these are specific folks. Maybe I've narrowed them down to,
38:11 you know, you can't do everybody in your database now. It doesn't really work
38:15 well and it can't output that quickly depending on how big your database is.
38:19 So ours is really big. I can't email in the data everybody in the database even
38:23 with our 20 agents today. But what I can do is I can whittle down some of the
38:26 folks. So, what I'll do now is like this one that's here, this is a screenshot I
38:32 think from qualified, which again qualified is for all purposes a sales
38:36 tool, but I've been using it for marketing. So, I'll see in Marquetto
38:40 because it's also hooked up it's hooked up to our Marquetto and it's hooked up
38:43 to our Salesforce. It will see when people are opening emails and if they
38:49 reach a certain threshold right now for they've opened a bunch of London emails
38:52 but haven't bought a ticket, it will send them this one to one email. Now,
38:56 I'm also still sending them like, you know, the email blast of, "Hey, Sasha
39:00 London's about to sell out." I'm still doing that, but I'm using the agent to
39:04 actually do onetoone personalized marketing email to this person. I don't
39:09 know where Matthew works. I think it says here, actually, but this was, you
39:13 know, this kind of called some of that up of, okay, I noticed you've been
39:18 exploring content. It actually pulled up content that they were reading on
39:21 safer.com. I didn't tell it to do that. It just did that. It contextualized it
39:26 based on his hard interactions, saw what he was rating on saster.com, related it
39:30 back to his company, knew that he was in this campaign where he was opening our
39:33 London emails but hadn't taken an action and offered him a discount code to
39:38 Saster. This is where I feel like there is a somewhat of a evolution in marketing and
39:45 a convergence and go to market that why can't you have more specialized emails
39:51 in marketing like this? not to replace newsletters, not to replace email blast
39:55 necessarily, but to be an added layer because you can get leverage out of AI
40:00 to have a more customized email to this person once they meet a certain
40:04 criteria. And basically, I treat these marketing emails again as drip
40:07 campaigns. And so far, they've been working really well. This is fairly
40:11 early days. I put a screenshot here. This was like 3,000 emails I've sent
40:19 in this one campaign just on qualified. That's not counting any of the, you
40:22 know, that's not counting on the inbound conversations that had or inbound
40:26 people. It's following up with. This is just for this specific campaign of
40:30 people who met this criteria. You'll see here open rates fairly high, right? This
40:35 is on par with what we've seen in like our agent force. Some of these people
40:37 also go into agent force. I'm doing like an AB test, right? I'm split testing
40:42 them just to see which one works better. Right now, about the same, which is
40:45 great. like it's high since they're about the same, but we're getting fairly
40:52 good open rates and then the clickthrough rates will be, you know,
40:55 obviously a little bit lower. That's fine. It's I don't expect that many
40:59 replies also on this email. It's giving them a link. They're they don't really
41:02 need to reply. If they buy a ticket, they pay cool that'll if they don't come
41:07 to me in this interaction, they only talk to my agent. That is a okay.
41:13 You know, bounce rate fairly low. So early days on this one cuz we've just
41:17 started to add this into the mix. But this is just such an interesting thing
41:22 just for all the backbone things of you know it being this is technically a
41:26 sales tool but you know sales tools can do really good sequences. So why I was
41:30 like why couldn't it do a really good drip campaign if it has all the right
41:33 inputs? And so this is where I found kind of a way to fill that gap that Jason was
41:39 talking about in the meantime in the interim. this is what I'm doing right
41:43 now to still get good output in marketing and kind of fill that gap for
41:46 now. >> Yeah, it is I want to keep getting through the content before we're out of
41:51 time. But the you're you we hear a lot of folks when we talk about our ASR saying oh no
42:00 that's those are marketing tools right the there AI is leading to convergence
42:05 between sales and marketing but in fact it is even leading at some level to
42:09 convergence between sales marketing and support as the agents can do more
42:16 >> they the lines get blurry so today that means Amelia is hacking what is commonly
42:21 a sales tool I guess right to do marketing emails to do personalized
42:25 marketing emails instead of a marketing tool that we instead of Marquetto or
42:30 HubSpot right that's a hack today it feels like a hack but it won't be a hack
42:34 next year the these will converge and like I I do know I've done a lot of
42:37 investments in the SAS side of e-commerce where there's high volume and
42:42 already tons of AI and already there there is no difference between sales
42:45 marketing and support for a variety of reasons we're going to see the same
42:48 thing because imagine you want to go buy a necklace and you go to a website, you
42:53 don't want to talk to support versus sales. And you and marketing might need
42:57 to market to you instantly so you get a discount so you don't leave. And so
43:00 these are all blending. Your skills are going to need to blend and your tools
43:05 are going to blend. So that's a for right now. Hack the tools that you buy.
43:10 Don't And if it's a sales tool and you think it's marketing or it's marketing,
43:13 you think it's sales, that's a new world. These lines are kind of get blurry.
43:21 I'll say the interesting thing is too is because it's blurry. It's almost better
43:27 for the output of it. It's actually better for me that some of this is in a
43:30 quote unquote sales tool and now I just call it a go to market tool because it
43:35 already knows all these things, right? I'm like, "Okay, our qualified is there
43:39 on the website." It already knows that. Like I don't have to be like, "Okay, I
43:42 have to, you know, back in the day to put Marquetto Munchkins on everything to
43:46 see if they went to your website." I'm like, qualify already knows that.
43:50 Artisan does that, too. Like they Salesforce knows, you know, and agent
43:53 force knows everything your Salesforce knows. Like, you already have all this
43:58 really great data and you're kind of using these go to market tools that
44:02 already have, again, they were built for sales, but really can be easily hacked
44:07 and applied to go to market. I actually think it's better. I don't
44:11 mind that it's merging and converging. I think it's leading us to send better
44:16 marketing emails. again because we're sending so many hyperpersonalized ones. We I'll have
44:23 like higher quality conversations with folks too. Like even when they do reply,
44:26 this one's low. Obviously, artist like artisans higher, Asian persons higher on
44:31 replies, but this one also has a link, right? So, I'm not comparing apples to
44:34 apples directly because those two are more where we've programmed them, where
44:37 we want them to reply. This one gives them a link, so they don't necessarily
44:41 need to reply. But the replies I do get just across the board are just some are
44:46 hyper personalized, hyper custom. The thing I run into actually and issues. I
44:49 sometimes can't reply to everyone like directly. Like sometimes they'll be
44:52 like, "Hey, I already bought my ticket, but hey, what do you think about XYV
44:55 tool you guys mentioned on the women or this or that?" And then like I'll answer
44:58 once and then they ask a bunch of follow questions. I'm like, "Oh no,
45:03 real Amelia cannot keep up with all of Amelia's agents." And so that's where
45:08 actually my biggest pitfall is is not being able to keep up with all of our
45:12 agents. It's not, you know, again, finding the right tools aside and maybe
45:16 hacking tools for now, not the biggest problem we have. So that's an interesting nuance, too.
45:22 But I don't I actually don't mind that these are converging. I think it's for
45:26 the best. I think we'll see it lead to maybe good changes within marketing
45:29 where, you know, you mentioned newsletters. I would love a really great
45:32 tool for that. But I also see where you know I'd love a tool actually that in a
45:37 you know in a 6 month state I could see this happening of it's a newsletter but
45:42 it's hyper customized right like why can't a newsletter be one to one in the
45:47 same way that this email is one to one >> it should be yeah it should be right
45:51 like the way Jason was >> millions of emails but we should they
45:54 should be customized >> they should be yeah okay if you're
45:57 reading sro.com and I see you already read that article I'm not going to put
46:00 it in your next newsletter like you already saw I'm going to put something
46:03 else related to it. That's like a follow-up one. Like that's where I see
46:07 this all kind of converging and going. It doesn't quite exist there yet, but
46:11 I'm actually excited for it to get there because I feel like actually it will be
46:15 better to if you're truly adding value, I feel like this is a good thing.
46:21 >> Yeah. I mean, when we have AI for both newsletters and drip marketing, that's
46:24 what we need is for drip marketing. So if we know whatever types of content
46:28 you've interacted with, it's not very difficult for AI to customize the
46:31 further content or the further campaigns you get. Well, they there may be tools
46:36 out there that do it or claim it, but the capabilities are limited, but it's
46:40 not hard. This should be there soon. Is your every journey should be customized
46:43 by AI. There's no reason for it not to be. And every newsletter should be I
46:47 mean we forget out your drip. No one should be sending the same drips. Even a
46:50 segment of drip. No one should be sending like two or three segments of
46:53 drips. There should be a million drips that draw from all of your content like
46:58 dynamically. And our newsletters, we should be sending a million different
47:01 newsletters, not a mill not not three different newsletters.
47:05 And we know what you want. If you're a sales professional, maybe you don't want
47:08 to read about Jason's vibe coding anymore. Maybe it's driving you nuts. If
47:12 you're really into our AI content, maybe you don't want to hear about all the
47:15 headaches hiring VP of sales. You just don't care. But everyone's getting this
47:21 mix of content of go to market AI BC funding and we AI should be smart enough
47:25 to change all that and then we're all going to see our response rates go way
47:27 up. >> We're all going to see it go way up. >> We're looking for that one. We're look
47:33 we're in the hunt. We're in the hunt for that. We're in the hunt for that.
47:36 >> I'll do a quick I'll do a quick closing thought and then Jason let's hit
47:40 anything you miss and then we can do some Q&A for a few minutes over.
47:44 Wait, this is interesting. thing. I was at like a Salesforce event yesterday
47:51 up in Oakland and just with folks that I was talking to is, you know, well, and
47:56 because folks know we have multiple agents now and I kind of talked about
47:59 the story. They were like, are you ever worried that like your
48:04 agents don't talk to each other? And I was like, no. Because even though our
48:09 stack is hyper personalized and specialized like you just saw like I use
48:12 qualified for some things artisan for others our marketing stack we just
48:17 showed is so desperate of you know 10 different pools the staff we have a
48:22 Jason AI that's deli we have an Amelia AI that's qualified I'm literally doing a voice and video
48:29 test with them later I have a London agent I'm rolling out on agent force
48:32 where you can call it and ask it what sessions to go to. That's freaking cool.
48:37 And someone was like, "Aren't you worried that these agents won't talk to
48:41 each other?" I'm like, "Okay, let me give you an example of a shift example
48:45 where I had a worse interaction than talking to maybe one to three agents."
48:48 Like, I had to call Verizon the other day cuz the Wi-Fi at the office was
48:53 down. And the experience was so horrible. Like, I had one, I had to call this
49:01 number. There was no chat. There was no like AI troubleshooting of, hey, I saw
49:07 your, you know, internet's down and I'm logged into my account. You should know
49:09 my internet is already down by the time I get there. And so I got routed to five
49:14 different people because we had a Verizon for business account and it was
49:18 specialized and it was I don't know they called FiOS or whatever and it was you
49:23 know whatever it was specialized and so I kept getting bounced to all these
49:27 different departments and finally I think the screenshot on my phone was
49:33 like 45 minutes later the guy who eventually came on said there's just an outage in your area so
49:40 your internet's down. I go, "Right, you could have used AI to tell me this when
49:43 I logged in. You could have maybe email me that there was information in my
49:47 area. I would have wasted 45 minutes on the phone." But my point in all this is
49:52 I talked to five different humans and it was a much worse experience than
49:56 somebody who has bounced between maybe one or two of our agents or at the max
50:01 maybe three or four of our agents. And I will I will say I know that because in
50:06 our agents they do point to each other. If you ask our Amelia AI right now for
50:10 SAS advice or like how to hire a VP of sales, it will kick you back over to the
50:14 Jason agent. Then if you come back and you're like, "Hey, I actually had a
50:17 question about London." She'll remember like Ameilia will remember that she
50:21 kicked you out of the Jason agent and like just pick up on that conversation,
50:26 you know, equated to at least I wasn't transferred to a new customer service
50:31 rep. If you go back to if you're kicked back to any of our agents, they remember
50:35 everything. Like they remember your whole conversation, context. They can
50:39 see what you were doing and actually get you to the right answer
50:43 versus, you know, being bounced around by humans. That's still worse, right?
50:49 It's just an interesting nuance there. Something I hadn't really thought of
50:51 until somebody asked me. me. I was like, but this experience is still better than
50:55 the crappy experience I just had with a bunch of random human beings who
51:06 >> Tell me the internet's down. >> You know, ju the Verizon story is a
51:11 great one. Let me just tie it together. you know the if we're talking about GTM
51:16 right we don't talk a lot about support but if support is pretty good it can be
51:20 a great lead capture and opportunity capture tool qualified you said for example it I mean
51:27 it does a limited amount of support when you're using that agent it captures
51:30 leads when it does the same thing right it does the whole thing and so the these
51:36 agents you know I had two bumps myself I had one with Mercury which I love which
51:40 is a banking product and I did it the other day and it said it would take them
51:44 a day to respond to my issue. Now, you could criticize that. You can say, "Why
51:48 the hell can't you just have an AI agent do the support?" But that when you have
51:52 that experience, you're missing a chance to capture that lead and get someone
51:58 into your journey. If Mercury or Brex, which we both use and appreciate and
52:01 love, if they all take don't really have AI support or can't get back to you, add
52:07 a basic agent like we started with Deli. Add something that adds value to your
52:12 customers today. Put it on your site today. Like some of these tools take a
52:15 long time to deploy. Deli you can do in a day. You'll instantly start at least
52:20 improving experience and capturing some leads and potential prospects. Support
52:25 as these things converge. Marketers and sales folks don't think about support.
52:29 It will become a lead generation tool for you. And it already is with our
52:32 agents. It already is. They're blurring. So make your if you don't make your
52:35 support great too and your marketing and sales will be better.
52:39 Thanks everybody. We'll see everybody in London. We'll do the this live. We'll do
52:43 this Q&A live. You can come up with all your questions and uh talk to you guys
52:46 soon. >> You didn't create a startup to run a small business. Let Salesforce help you
52:57 connect data, automate busy work, and empower employees on the only platform
53:00 you will ever need, no matter how big you get. With smarter AI and builtin
53:05 collaboration tools like Slack, which we use and you use, the sky is the limit.
53:09 Learn how Salesforce works for startups at salesforce.com/sm.
53:20 Hey Sasser, imagine having agents for every support task. One that triages
53:24 tickets, another that catches duplicates, one that spots turn rest.
53:28 That'd be pretty amazing, right? Happy Fox just made it real with autopilot.
53:32 These pre-built AI agents deploy in about 60 seconds and run for as low as 2
53:37 cents per successful action. All of it sits inside the HappyFox omni channel AI
53:42 first support stack. Chatbot, co-pilot, and autopilot working as one. Check them
$

How We Use 20+ AI Agents for Marketing & Go-to-Market with SaaStr's CEO and Chief AI Officer

@SaaStr 53:48 15 chapters
[AI agents and automation][marketing and growth hacking][e-commerce and conversion optimization][revenue model and pricing strategy][developer tools and coding]
// chapters
// description

Join us for part two of our series on leveraging AI tools for Go-To-Market in B2B/SaaS. In this episode, SaaStr's CEO and Founder Jason Lemkin, and SaaStr's Chief AI Officer, Amelia Lerutte, discuss the importance and current state of AI in marketing, highlighting their key tech stack and tools. They share their experiences and insights in utilizing these tools for creating personalized marketing collateral, automating content repurposing, and optimizing email campaigns with AI. Learn about th

now: 0:00
// related videos (5)
Two Ways To Come Up With Business Ideas
[community building and audience growth][market research and validation][revenue model and pricing strategy]
→
Episode 2 - Building a SaaS to $1k MRR
[community building and audience growth][market research and validation][revenue model and pricing strategy]
→
Building a SaaS to $1,000 MRR - episode 3
[community building and audience growth][market research and validation][revenue model and pricing strategy]
→
Someone Will Get Really Rich Doing This
[community building and audience growth][market research and validation][revenue model and pricing strategy]
→
Episode 1 - Building a SaaS to $1k MRR
[community building and audience growth][market research and validation][revenue model and pricing strategy]
→
// actions
← back to terminal open on youtube → @SaaStr channel →
// tags
[AI agents and automation][marketing and growth hacking][e-commerce and conversion optimization][revenue model and pricing strategy][developer tools and coding]