10:57Leveling Up with Eric Siu · Talking Head
How Loops Will Make You Way More Money
An 11-minute case for why manually prompting AI agents is already dead — and what building business loops looks like in practice.
June 12thThe argument in one line.
Most companies are running AI theater — lots of motion, zero compounding — because their tools never talk to each other, and the fix is a single unified intelligence that every team member flows through.
Read if. Skip if.
READ IF YOU ARE…
- You run or work inside a marketing agency or growth team and want to replace manual reporting and creative workflows with agents that compound over time.
- You are a founder or operator already using ChatGPT or Claude individually but have not wired those tools into a shared memory layer your whole team can access.
- You are spending real money on AI tokens and want a concrete framework with actual numbers for attributing that spend to business value.
- You want to understand the B2A (business-to-agent) commercial shift and what it means for SEO, documentation, and API strategy.
SKIP IF…
- You need a technical deep-dive on MCP configuration, Slack API setup, or agent-to-agent routing — this talk stays at framework and live-demo level.
- You have zero existing AI adoption and are looking for a starting-point primer rather than an intermediate architecture talk.
The full version, fast.
Individual AI use widens the gap between you and your team instead of compounding everyone together. The fix is a Single Brain — one ambient agent in Slack or Teams that connects every tool and routes work through a hierarchy of specialist agents. The speaker shows his six-agent fleet live: Alfred (chief of staff), Hermes (quality gate), Oracle (analytics), Flash (social content), Arrow (sales), Phoenix (attribution). A single Slack prompt spun up 3 landing pages, 48 nurture emails, 200 ad creatives, and one attribution dashboard. A CFO agent found $500K in recoverable value from $2,500 in tokens. The closing argument: agents now buy from Stripe, Shopify, and Cloudflare, so your APIs and developer docs are your new sales deck.
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00:00 – 01:30
01 · Cold open + adoption poll
Show-of-hands poll from ChatGPT to Hermes agent sets up the adoption spectrum.
01:30 – 03:00
02 · The Internet analogy
Compares AI adoption delay to the 5-year email adoption lag of the 1990s.
03:00 – 04:30
03 · Four levels of AI adoption
Unacceptable / Capable / Adaptive / Transformative. 9% of enterprises currently scaling.
04:30 – 06:30
04 · Execs see it, teams don't
72% of execs see benefit; 10% do not. Gap is implementation. Single Brain via Shopify River and Jack Dorsey.
06:30 – 10:00
05 · Single Brain architecture
The org chart: Human to Single Brain to Fleet Commander to Agent Fleet. Named after DC characters. Tools connect via Slack.
10:00 – 12:30
06 · Six agents, one team
Alfred, Hermes, Oracle, Flash, Arrow, Phoenix — roles defined.
12:30 – 15:00
07 · Give every person a fleet
Tamagotchi personalization analogy. Individual fleets drive adoption faster than change management.
15:00 – 17:30
08 · DIY vs DFY vs DWY
Three service levels. End-to-end workflow: human input, AI thinking, human review.
17:30 – 21:30
09 · Live demo: 22 weeks to 22 minutes
Slack thread: Oracle pulls ROAS, Picasso spins creatives. Prompt-in/campaign-out: 3 LPs, 48 emails, 200 creatives, 1 dashboard.
21:30 – 23:30
10 · $2,500 to $500K ROI
Token spend breakdown: $180K replaced CFO work, $160K generated enterprise leads, $100K resurrected dead campaigns, $60K hired equivalent.
23:30 – 25:00
11 · Agents are the new buyers (B2A)
Stripe, Shopify, Cloudflare enabling agent purchases. APIs = sales deck. Schemas = SEO. Docs = funnel.
25:00 – 27:39
12 · Three moves by Friday
Pick one weekly workflow, give it shared memory, give one seat a fleet and measure it. Satya Nadella quote.
Lines worth screenshotting.
- 91% of enterprises are not scaling with AI right now — the gap is not the technology, it is the implementation.
- Individual AI use actually widens the gap between you and your team instead of compounding everyone's output together.
- Shared memory is the real unlock: one ambient agent layer every team member flows through turns isolated prompts into compounding institutional knowledge.
- Specialist agents that own a narrow domain outperform generalist prompts — an analytics agent surfaces signal a general assistant buries.
- 1 human plus 5 agents equals a 10x team member — possibly 50x or 100x as closed loops replace open loops.
- $2,500 in AI tokens returned $500K in attributed business value in one quarter for a marketing agency.
- Change management disappears when agents live inside Slack or Teams — people are already there, so the behavior change is near zero.
- Agents are now buying from Stripe, Shopify, and Cloudflare — if your site is not legible to a crawler, you are invisible to the new buyers.
- APIs and developer documentation are the new sales deck: agents find your API, read it, and start using it automatically.
- Closed loops — agents that self-improve and recurse — are the final form; open loops where humans check in on humans are the current norm.
- The companies that did not adopt email in the nineties took five years; you cannot afford five years when someone else is compounding at 10x right now.
- AI-pilled employees report more fun and harder work simultaneously — the only management risk is burnout from adoption, not from resistance.
- Giving every person on your team their own individual agent fleet drives buy-in faster than any change management program.
- A single prompt can spin up a full campaign: 3 landing pages, 48 nurture emails, 200 ad creatives, 1 attribution dashboard — in minutes.
How agent fleets replace open loops in any organization.
WHAT TO LEARN
The compounding gap between AI-native and AI-resistant operators is already a business risk, and closing it requires shared memory — not better individual prompts.
- Individual use of AI widens the knowledge gap between you and your team; shared memory closes it by letting every team member access the same context.
- End-to-end workflows — human input, AI processing, human review — are the building block; stack enough of them and they become specialist agents.
- Closed loops, where the agent monitors its own output and recursively self-improves, eliminate the open-loop cost of humans checking in on humans.
- Change management friction drops to near zero when the agent layer lives inside the tool your team is already using — the behavior change required is minimal.
- Giving individuals their own personalized agent fleet drives adoption faster and more durably than any top-down change management program.
- The B2A shift means your APIs, schemas, and documentation are now your primary sales and discovery surface — not your UI or your human sales team.
- Token costs are a proxy for value delivered only when you can attribute them to specific outputs; building an attribution layer alongside the agent fleet is what makes the ROI case.
Terms worth knowing.
- Single Brain
- A unified ambient agent that connects all of a company's tools into one shared memory layer accessible to every team member through Slack or Teams, serving as the entry point for all AI-assisted work.
- Fleet Commander
- The agent layer between Single Brain and specialist sub-agents; it routes work, manages the fleet, and owns backend configuration.
- Agent Fleet
- The set of specialist sub-agents assigned to a function or individual, each operating in an isolated instance with a defined domain such as analytics, content, sales, or attribution.
- Closed Loop
- An automated workflow where the agent monitors its own output, tests it, and recursively self-improves without requiring a human checkpoint at each step.
- AI Theater
- The organizational pattern where a company runs AI pilots that look like progress but produce no compounding output because tools remain siloed and workflows unchanged.
- B2A (Business to Agent)
- A new commercial layer where AI agents, not humans, are the purchasing decision-makers — researching, comparing, and buying from platforms like Stripe, Shopify, and Cloudflare on behalf of their operators.
- SSR
- Security, Stability, Reliability — the speaker's internal framework for evaluating whether an agent deployment is trustworthy enough for production tasks.
- End-to-end workflow
- A task structure with three steps: human input at the start, AI processing in the middle, and human review of the output — the building block that stacks into specialist agents and eventually closed loops.
Things they pointed at.
02:32productShopify River (ambient Slack agent)
02:58linkJack Dorsey world brain concept (Block)
07:28toolOpenClaw
07:28toolHermes agent
21:42productStripe agent purchasing
21:47productShopify UCP
22:00productCloudflare infrastructure
22:36productSupabase / Vercel
Lines you could clip.
14:04
“When you can compress 22 weeks of work into 22 seconds, the sky's the limit.”
13:34
“1 human + 5 agents = a 10x team member. Maybe even 50x, maybe even 100x.”
04:03
“When I don't have this or it's not working, it feels like I'm drinking soup with a fork.”
12:37
“More fun than I've ever had. Harder than I've ever worked.”
23:28
“APIs are the sales deck now.”
Word for word.
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metaphoranalogy
00:00I'm gonna bear my soul to you all tonight. We're gonna talk about we're gonna talk about implementing AI in your organization, and we're gonna talk about making one brain that's gonna help you all move a lot faster.
00:12And I think maybe a good place for me to start first is more so on this slide first. So just a quick show of hands. How many of you use ChatGPT slash Claude?
00:22Okay. Now keep your hand up if you use let's say you're using Claude code. Okay.
00:28Keep your hand okay. Well, hands are going up. Okay.
00:30Uh, how about Codex, Claude code? And then how about Open Claw? Keep your hand up.
00:34Okay. And then Hermes agent. Okay.
00:38Oh, wow. A hand went up. Okay.
00:40Fascinating. Great. So I'll start on this slide first.
00:44I for for my company at least, the way I think about it is, you know, everyone's talking about AI transformation, change management right now, all these corporate words. Right?
00:52And people are saying there's there's a lot of resistance. It's it's really hard to get people to adapt.
00:58And I remember I was I was talking to my dad about this because he was a programmer in the nineties, and I was using the Internet when I was, like, eight years old or so. And it occurred to me that I was like, this AI thing is no different than kind of the the Internet transformation when when that was coming out.
01:11I was like, dad, how come you didn't use the Internet really? Like, when did you how long did it take your companies to adopt email? It's a long time.
01:19I'm like, how how long is a long time? A very long time. Five years.
01:24Right? Which is crazy to me because now that you have the power of of infinite intelligence in your hands, you you can't afford to wait five years if if you're operating a business or you're inside of a business. Right?
01:35Because if, let's say, this gentleman up here is compounding at 10 x and he does it for twelve months, he's a magnet he's he's already way too far ahead, right, versus if if if I don't adopt it at all. And so the the rubric that we use at my company is is really four levels.
01:51So you have unacceptable, which is obvious. You're not using any AI at all.
01:55Then you have capable, which is where maybe you're using AI maybe you're using Claude, you're using ChatGPT, or maybe you're using it to search.
02:02Okay. Maybe you you you believe in it a little bit. And then you have adoptive.
02:06It should say adoptive, but there's an a there. It should say adoptive, which is where you're using you're building end to end workflows, right, which we'll talk about in a second. And then you have transformative where you're building closed loops, which we'll also talk about in a second too.
02:18And, you you know, people are talking about end to end workflows, they're talking about closed loops, we'll get there in a moment. But all this ties back into like how you do this change management thing, right? And so this combines with the whole concept of having a single brain, and you know, as recently as last week, the founder of Shopify wrote a post just saying, oh, we have released this thing into Slack called River, and everyone's like, oh my god, this is amazing.
02:41Right? River, anybody can talk to River, you know, we're we're doing all our we're sending all our pull requests, we're we're upgrading our product, and then people are just talking to River, and everyone's learning in public. Okay?
02:51That's one example. Maybe a month or two ago, Jack Dorsey, founder of Twitter, now called X, he runs Block right now, and he's you know, they cut 40% of staff, but he talked about this concept of this world brain.
03:03Okay? So we just call ours single brain because I have single grain with a g, so I I bought the domain single brain. So that's why I call it single brain, and we'll we'll we'll get into it.
03:14So let me back up a second here. I'm just gonna call out a couple other things. So this slide shows that only 9% of enterprises are actually scaling with AI right now.
03:26The other 91% are not really touching this as as much as they should. Right?
03:31That sounds a little weird, but anyway, you you get the point. So almost nobody's shipping right now, and this whole concept of having a single brain is going to help get you there, okay? And I'll show you some actual examples, I don't want that just to be all theory, and I'll maybe, time permitting, maybe I'll tell I'll give you some practical tips on how you can do it, because we've been doing it for ourselves for a couple months now, we've been doing it for our clients.
03:51The moment they drink this, it's like game over. They're just like, woah. Like, I I think one of the I'll share one of the quotes.
03:58One of the clients was like, when I don't have this or it's not working, it feels like I'm . Right?
04:04So that doesn't quite work out well. Right? So execs see it.
04:09Right? Execs see the benefit of this. Those of you that are running a company right now, you might be seeing the benefits of this, but maybe your team might not be seeing the benefit of this.
04:15Right? So 72% of the execs can see the benefits, but 10% do not. But the gap isn't necessarily the technology, because clearly it's working for some people, and for some it's not, but it's the implementation.
04:27Right? And this will help bridge the gap here. So here's where we get into the actual bits of single brain right here.
04:34So you can see these little animals here, my my great designer. We have a raccoon, we have a bear, we have a fox, a cat.
04:41Nobody's talking to each other here. You have Salesforce icon, you have a HubSpot icon, you have Google Analytics, you have Slack, you might have Shopify, you might have Google Search Console. The problem is when none of your tools talk to each other, when none of your data nodes talk to each other, you can't compound, and we all love compound interest, right?
04:59It's the eighth wonder of the world. And so if your tools don't talk, your knowledge stalls, change management, there's that word again, change management.
05:06Right? And then what ends up happening is pilots don't ship and everyone gets frustrated. And then what ends up happening is you start having this in your company.
05:14We've certainly been affected by that in the past where it's like, if Eric wants this, we're gonna do this. Right? Which is stupid because it doesn't end up benefiting anybody.
05:21It doesn't benefit your customers. It doesn't benefit you. And it ends up being this this AI, like, theater that that makes it look like you're doing something because of motion, but you're you're not really doing anything.
05:30So the way we think about about it is one brain. Okay?
05:34So you you can connect your GitHub, your Slack, everything ties into this one brain. Okay? You you can call it the world brain, unified intelligence, single brain, whatever you wanna call it.
05:42That's the concept here. Alright? And the org chart then starts to shift.
05:47When you start to connect your tools into Slack or Microsoft Teams, here's the thing, you don't need to worry about change management because your team is already working inside of Teams, and they're working inside of Slack. So if that's happening already, they're used to talking to humans, these these agents that you have that are living inside your your your Slack that are connected to all your your tools, guess what's happening now?
06:07They're they're You don't need change management because they they've already They're already starting to eat this stuff up. Right? So the way this org chart works, and don't worry, we'll we'll share the slides with everyone afterwards, those of you taking pictures as well, single brain is at the top.
06:20That's the main brain that you have. Around it, have like because my company does marketing, right, so we have SEO lead, you have sales, you have paid media, you have ops. Those are these are people asking questions to Single up top, and then right below it okay.
06:35So Single Brain is an agent, right, it's an ambient agent that lives inside of your your chat tools, and then you have a fleet commander, like an agent commander that basically will manage all of your other agents below, and then you have sub agents below that. So we we named ours after, like, DC characters, Oracle, Flash, Arrow, Cyborg.
06:51My designer just decided to make them into, like, these mammals, I guess, but it works. So the the way it works is you have a human up top, you got the main brain, you have a fleet commander and an agent fleet, and then you might have sub agents.
07:03That is how this works, and I think this might be interesting right now. I think in the next twelve months or so, almost everybody's gonna be doing it, so you might as well start doing this right now, because I don't I don't think it's that particular I think it's very simple to implement. Is it a pain in the ass?
07:16Yes. But it's still simple, and it's worth it. And I'll I'll share some numbers with you you later as well.
07:21So for us at least, we have six agents. And you wanna think about it this way, you wanna have when you're designing your company around AI, you are designing for specialist agents, so you might have agents that are good at SEO, you might have some that are really good at conversion rate optimization, some that are really good at email marketing, you want them to focus in these areas, right?
07:42And when you set these up, you wanna make sure that they're set up in isolated instances so they don't bleed over to each other, and I'm not gonna get too technical in this talk because I have limited time, but for this one, just for example's sake, Alfred is kind of the chief of staff. Hermes, or in our case, we have a Hermes logo in in our Slack, we would call it Hermes, that one is more so like the brain that will check Alfred, because you you need these agents to check each other, sometimes they become unreliable.
08:09So there's a lot of work to do around security, stability, and reliability. We like to call that SSR, okay?
08:15So a lot of work to be done there. Then we have like an analytics agent called Oracle, and we have Flash that handles social content. And just an example with Flash, it writes a lot of my Twitter posts now, and some of these Twitter posts are getting like 300,000 views, 500,000 views or so, and we're getting amazing we're driving amazing pipeline from it, and we're having amazing conversations with people that I never would have imagined that I'd be talking to.
08:36And that's all being driven by just the work I'm doing with these agents, and and me going to the agent and saying, hey, What's some cool stuff that we did this week that would be a good x long form article? You can do that for LinkedIn as well. You can do that for whatever social channels you there's tons of people doing this for TikTok right now.
08:50You wanna talk about TikTok shops, all these things, trying to apply this to ecommerce too. The sky is the limit. Once you start working like this, everything changes.
08:58It's not just you love ChatGPT anymore, it's totally different now. Right? And I think some of you that raised your hand with OpenClaw and Hermes, already know what I'm talking about, but you as an individual using this is not enough Because you're actually depriving your teammates of being able to grow with you as well, and you wanna bring everyone along ideally.
09:17That's what I learned at last. Every day it's like so cool, but I'm like but I feel like if if my gap is getting if if I'm growing like this and my team's growing like this, that gap's gonna get wider, and I can't let that happen. Right?
09:27And you shouldn't let that happen to yourself and also to your teams. So that's what I'd say. That's what the kind of this agent fleet looks like.
09:35And then what happens afterwards is as you start to learn us, like I just mentioned, you start to give every person on your team a fleet. So this paid media lead, they might have Aero, which is good for social media, Flash, they might have the Oracle one, which is good for analytics, and they will start to customize it for themselves.
09:54And, I mean, look at your desk at work. Look at your look at your home.
09:58Look at your car. Don't you like to customize and decorate it? Everybody likes customizing their own.
10:02Right? I I think some of you who are old enough, I I certainly remember this, Tamagochi's. Right?
10:06Pretty cool. Right?
10:08Yeah. Right? So once you start to give everyone the ability to customize it, people feel more bought in.
10:15Every single person that we've given an individual agent to, where we've been testing this, they're like, wow, I feel like I'm reliant on this now, I feel like I can't live without this. And so again, this is not this is something that everybody can build on their own.
10:29Right? The reason why, again, I called out Open Claw and and Hermes, these types of agents, is these types of agents allow you to do this type of stuff and unlock the ability for you to have this unified brain, this world brain that a lot of people are talking about, and it seems scary when they're talking about it, but once you start to implement it, it's really not that bad.
10:47Okay? So again, you have a ambient brain for your company, then you have a fleet for yourself, and then you make one for your company, and then you start to scale a lot faster.
10:58So in terms of maybe there's three levels right now to tell all this.
11:02Right? You have you have do it yourself, okay, you have done for you, and then done with you.
11:08Okay? So on very left side here, you probably can't see it as well, do it yourself, maybe you're using ChatGPT, maybe you're using Claude, maybe you're using Claude CoWork, and you're ask you're you're just going back and forth with it.
11:19Right? Done for you is when you're working with these specialist agents, okay, where you have these end to end workflows, and let me explain what that means. So an end to end workflow is when you have a human input, that's the first step, I wanna go over here, human input first, then the AI does thinking in the middle, and then the human reviews the output.
11:38Right? And you think about a lot of the workflows that we're doing at work, like, these things are all just workflows. Right?
11:44So then what happens is you build a bunch of these workflows together, and then what happens is you start to create these specialist agents that can do a bunch of things around SEO or conversion rate optimization, paid media, ad creative, which we we have like one that spins up a ton of ad creatives, and I'll show you an example in a second.
12:02But once you're able to do that, then you start to create loops. Okay?
12:07So the way I look at the org chart of the future is you have specialist agents, and then you have loops. And a loop is basically a bunch of different tasks that you might insert agents into, and then you just have people, a human at the top, managing these loops. So the future is really agents, loops, right, and workflows.
12:25And if you have an org chart that compounds that way, you're just gonna grow a lot faster. And the thing is, anybody on my team that is using this stuff right now, work when I ask them, and I'm just like, hey, don't don't don't BS me.
12:37Are you having fun right now? I'm like, more fun than I've ever had. How hard are you working right now?
12:41Harder than I've ever worked. Okay? The only thing I'm concerned about right now with these these AI pill people on my team is actually burnout.
12:49That that's the only thing I'm concerned about right now. Now on the flip side of that, the people who aren't AI pilled right now, it's like, oh my god, it's like trying to drag someone over, and it's you can bring a horse to water, but you can't make them drink.
13:02Right? So that's the challenge that I have as a business owner right now. I wanna bring everyone along, but not necessarily everyone's gonna wanna come along, that you're gonna have some tough decisions that you might have to make.
13:11Right? And as noble as it might be that you wanna bring everyone along, you just can't, but I will say the ones that are super AI pilled right now, it's such a pleasure, it's such a joy to work with these people. I look forward to coming into work every day.
13:24I don't dread it anymore, and you can apply this to ecommerce, you can apply this to any form of marketing, you can apply this to services, list goes on.
13:33So the way we see it is one human plus five agents is a . Okay?
13:40Maybe even 50 x, maybe even a 100 x or so, but we're just looking at leverage ultimately, because when you have the ability to call on this ambient brain whenever you want, you're actually compressing time. So next slide, I'm gonna show you what I mean by that, but just think about it.
13:57If you're with an ecommerce company right now, you have to maybe a year ago, two years ago, if you wanted to get a data pool from your data scientist or your data analyst, what is that?
14:07Three days? Four days? A week?
14:10A week's pretty effing crazy to me, right, because a week is two percent of the year. Right? Oh, two weeks?
14:144% a year? Are you kidding me? Right?
14:16So like and they don't wanna do the data pull for you. Like, you don't wanna ask for the data pull, it's a pain in the butt.
14:22Right? So you you might as well just ask the thing, instead of waiting for a week, you get it in seconds. And you compound it on all the things that you need from a context standpoint, you're just able to move a lot faster.
14:31Right? So I'll show you an example here on the screen. So this is inside of Slack, this is me asking for data, okay, to Oracle, and maybe you can't read the text, but you can get the slides afterwards.
14:43And here's like, oh, here's how Meta's performing right now. Okay. Cool.
14:47Here are the top spending campaigns. Right? And then Christy comes in, hey, I wanna refresh this this Meta ad creative over here.
14:55What should we do? Okay. Picasso comes in.
14:57That's another agent that we have that does ad creatives, and then it does more data over here. And then after that, it's okay, it's starting to strategize with my team, it's starting to say, okay, here's here's what's happening right now. But the the most interesting part is when you're able to combine the agents.
15:10So boom, Picasso spun up a bunch of different variations based on what was already performing well. Right?
15:17So you can just say, hey, look at my meta ad account. I want you to double down on creatives that are working. I want you to spin up a hundred, two hundred different variations.
15:25I to want you to kill the campaigns that aren't working right now, and then let's move on to the next thing. Right? And the crazy thing is now, those of you that have raised your hand with open claw on Hermes, know this already, but you can literally now you have the slash goal command that can help you do a lot of stuff overnight.
15:39Right? It can help you finish tasks, and you can go you can go a lot further in terms of just getting things done, and you can plug this in.
15:46So there's so many any of you that have played video games growing up, there's so many different upgrades you can add every single day, and that's what it feels like. At least for me, it feels like I'm playing a video game. Right?
15:55And I hope it feels that way for you too once you start to do this. Alright. Some examples here.
16:01You can you can simply ask, like, oh, what's our ROAS this week? Okay. And you can see the performance over here.
16:07Then you could go deeper. Okay. What's our ROAS?
16:09Which creatives again, which creatives should we double down What are our competitors doing right now? Okay. What does their ad library look like?
16:15What what are the longest standing ads that they had running for a long time? Approximately, what are they spending right now? What are some other ads that are working in maybe adjacent industries right now that we should consider?
16:24Okay. Let's spin up 500 variations. Right?
16:26That is all possible now. It wasn't possible before, but, when you're able to compress, let's say, , the sky's the limit. Right?
16:35So that's why earlier with David backstage, we're just talking I was showing him these AI stocks. I'm not gonna tell you. I don't wanna give you financial advice, but, man, some of these are just parabolic.
16:44Right? It's it was I I looked at one. It's, like, up 5000% or something in the last year or so, and these are all part of the AI stack.
16:50But if we're all trying to buy this infinite intelligence that we've never had before, I think the build out, it's gonna go even crazier.
16:59Right? And so anyway, all that to say, if you can do this for your business right now, what's gonna happen in a year? Scale it to 200 variants, scale 500 variants, whatever it is exactly.
17:09And here's just an example of if you put a prompt in campaign out, hey, I want more landing pages over here, I want nurture emails spun spun up. And so with one of these single brain agents, we it literally it will put together your cold email infrastructure, okay, or it can put together your your nurture sequence.
17:27So what it did for us was it literally bought a 100 email domains, it came up with a naming vernacular as well, it also it also put together the sequences, and it recursively self improves, meaning that it it constantly is testing itself over time.
17:42Right? And so that is a closed loop. Right?
17:44We wanna think about once you start to use this, you wanna think about how many closed loops can you build, because a year ago, two years ago, three years ago, us humans were working on open loops. Oh, Bob. I know your name's not Bob, but Bob, how's that status report going right now?
18:00Mike, how are the paid ads going over there? Anna, creatives, how's that going right now?
18:06How annoying is that? Nobody wants to do that, right? Nobody wants to check-in with each other, nobody By the way, I'm in the client services business, I even talk to my clients too, when I show them this stuff I'm like, let's be honest, you don't wanna talk to me, I don't wanna talk to you, if we just do good work, who cares?
18:21And they're like, exactly. Literally, I did that. I don't usually get on the client calls, but I've been hopping on them recently, and they're all like, yeah.
18:29You also have to help your team understand this too because they're so like, they're they're they tend to overwhelm themselves.
18:35But if you start to get them to see the light in terms of how to work this way, my god. Works would be way more fun.
18:42By the way, this is an example. When once you have an Ambien agent going, I was like, oh, you know, man, our our costs have been kinda going up a little bit.
18:53Can you make me a CFO agent? And so it made me a CFO agent and looked at all my costs, and it's like, yeah. You're you're you're you're being really stupid with your spend here in x, y, and z.
19:02Within three days so it found me $500 in savings. I cut those save I I I cut all those costs, $500 saved, and some people are like, oh, Eric, how do you justify the, you know, $12,000 a month you're spending on AI tokens?
19:15Right? Well, this is how, because this is the ROI that you get. Right?
19:18By the way, I'll I'll give you a fun tip. You should probably write this one down. How many of you are spending a lot of money on tokens at your companies right now?
19:25Like, over $10 a month? Okay.
19:30$50 a month? $100 a month? Anybody?
19:32Okay. Well, it's it's probably gonna become that at some point. Right?
19:34It's because we're paying for this intelligence. It's it's unreasonable for us to not pay for this.
19:38Right? So my token costs and maybe we'll talk about this in that marketing school recording that we do in a little bit with with Neil, but my cost got up to $12,000 with Anthropic spend.
19:51Right? And I'm like, man, like, I'm having fun, and sure, I can argue that I'm getting ROI, but that's still crazy to me. So if you wanna drive your token cost to zero maybe not zero, but a lot cheaper, all you have to do is because right now I'm paying for Claude, so I paid the $200 a month, and then I I started buying more and more OpenAI accounts because ChatTPd 5.5 is actually more for right now, to me, is more superior than Opus four seven, which is Claude's best model.
20:17Right? And all that happens now is for $200 a month, they're very generous. You you can you can eke out, like, $5, $10, $15 in tokens.
20:25And so once I run out on the first one, guess what? I switch to the other one, $200 a month. And I'm just gonna keep doing this $200 a month until everyone starts abusing this, and then the party's over.
20:35So maybe maybe I shouldn't have told you guys this, but I figure someone's gonna do it, so I might as well just tell you. But you're welcome.
20:42You have gotten an ROI on from this conference already. So so anyway, agents are the new buyers.
20:52Right? You have to optimize accordingly. This is kind of going into if you're using your Ambient agents, have to think about how you can optimize.
20:58Like, how many of you have software companies? Anybody? Or work at software companies?
21:03Okay. Not many. Okay.
21:04Well, so I look at it this way. You have you have d to c, right, we have b to b, you now have b to a, which is business to agent, because everyone's spinning up all these agents now, and can see the way I'm treating my agents.
21:18It's almost like my chief of staff, my assistant, and I have multiple ones, right? I just want them to do maybe the buying actions for me. I don't wanna do the research, and so Stripe recently just came out with the ability for agents to purchase.
21:29Shopify has their, I think it's called UCP, So everything is is is kind of going into, hey, how do we make it how do we enable agents to to purchase more? Cloudflare, for example, you can actually buy Cloudflare infrastructure.
21:42And so I I think about this from an SEO background. Oh my god. I can spin up so many different landing pages and so many different subdomains.
21:48I can buy all these things and just tell my agent to do it. So when you think about from an SEO standpoint, you're gonna want your agents to optimize for that.
21:57And and here's one thing I'll say. If you have a software company, for all these agents are crawling all the API documentation, are crawling all the MCP documentation.
22:06Right? Yesterday and and by way, you you guys can reach out to me for this. I have a contact at Shopify that texted me yesterday.
22:12He's like, you know, I lead the Shopify API slash MCP. I wanna talk to a lot of ecommerce companies. Right?
22:18So if that's you, feel free to hit me on Twitter or or Instagram, and I'm happy to put you in touch with him. But that's literally what they're doing.
22:24And when I'm talking to him, he's like, yeah, we're all in MCPs, APIs. You think about Salesforce, for example.
22:31They've gone headless. Right? And so if I were to simplify this, what these companies are all saying now is that the UI is still maybe useful to humans, but because the agents are gonna outnumber us, maybe a 100 to one, a thousand to one or so, you're it's really important that you optimize for the agents.
22:47Right? And so for a lot there's a company recently, they all they do is create documentation for for software for companies, and they just raised 50,000,000 and a $500,000,000 valuation.
22:58All they do is just create developer documentation. And the reason it's exploding right now is because there's a big demand by companies to do this, and they don't wanna write it themselves, but they know they need the agents to pick it up. It's almost like SEO for agents.
23:09Right? That's one way to think about it. Now you can apply this to all the other areas that in in your in how you're doing work right now, but there's no way we can run from this.
23:17Right? It's time to start optimizing for the agents. Schemas are really important too, thinking about how you optimize for I'm not I'm not gonna go too too far into SEO because it's not an SEO talk.
23:27APIs are the sales deck now, right, or or MCPs. Because when my agent works, it's often looking for documentation, and it's looking for these APIs, and once it finds it, it just starts using it.
23:38That's why a lot of these companies like Supabase or Vercel have been growing parabolically. Like, it's crazy growth, right, millions and millions in terms of new users or new account creation.
23:49So think about this, like if you're optimizing oh, guess what, who's gonna be buying from your ecommerce store in the future? Probably agents, right? So how do you do you prove to the agents that maybe you're the company that they should be buying from?
24:00I don't know, for you for you to figure out. I don't have a ecommerce store.
24:04So what I'll say is this, and then maybe I'll I'll end with a few a few thoughts here. So three moves by Friday.
24:12I think it's really important that you pick one workflow that repeats every single week that provides the largest ROI. And I don't know what that is for you, but I think you need to think about it.
24:23Right? And then maybe you could go to developer on your team.
24:27Okay? Hey, I heard about this this Asian dude talking about OpenClaw and Hermes on stage.
24:33I have no idea what the heck he's talking about. Can you help me here? And then share this deck, because I'm gonna give you the QR code in a but share the deck, right, and then figure out how you can just have one repeating workflow.
24:44And once it works, oh my god, light bulb moment. K? And we have Satya Nadella over here.
24:53Right? So AI agents will be the primary way we interact with computers. It's already happening right now, and that's why these companies are putting so much CapEx towards these these data center build outs.
25:02It's because work is way more fun this way. Some of the things I remember so I gave you the soup analogy earlier.
25:09One person we talked to is like, my god. I'm and yeah. Literally he said, oh my god.
25:13Right? Oh my god. I'm 40% faster at least.
25:16Someone else said, it's I hate to say this to you, Eric, because it's admitting that you're right, but it's I I feel like I'm reliant on this now.
25:25Okay? Well, that's also good. We talked to a customer this week.
25:28They're like, oh, yeah, it would be really painful if I didn't have this anymore. Right?
25:33And so that is what's happening right now. I'm telling you, everyone's gonna be doing this I think in the next twelve months or so, maybe the world's a little slower than that, maybe eighteen months or so, but you might as well start doing it now, and the cool thing is you can start doing it for free using an OpenClaw, using a Hermes.
25:47Set it up for yourself, set up your own agent to help you with scheduling, planning, maybe even personal stuff initially, and then once you figure that out, start to think about all the annoying work stuff that you have you have to do. And then if you're working for a company, you can go to your manager, go your go to your leader and just say, hey, look, I figured all this stuff out, I optimized all these workflows, and then what's gonna happen?
26:05Guess what? You now have leverage and you can either build the leverage at that company, or you can go to another company and do it because you know how to build this stuff now, right?
26:13I think people think this is harder than it actually is, that's my opinion, because I'm not a technical person.
26:20I just like nerding out on this stuff. And if you want to get better at this, I would highly recommend that you're just hanging out on x all the time. Smartest people, smartest engineers in the world, the smart everyone's just talking about building.
26:32The energy's really good there. Right? LinkedIn, probably not so much.
26:36I think LinkedIn's like six months behind. Right? The the saying now is is FrontierLab engineers like OpenAI or Claude or Anthropic, sorry, are maybe three, four months ahead, and then you have people on x are three, four months behind, and then you have like another set that are three, four months behind, and then you have like the rest of the world.
26:53Right? The fact that you're in this room right now, that you're spending Thursday night here, thank you for spending Thursday night here, it shows that you are in the 1% of learners.
27:01Right? All you have to do is continue to push that advantage and also make sure that you don't burn out too. So build the brain first.
27:09The top 10 top 1% of operators are already doing it. I think it's, like, maybe top point 1% or so. The QR code is right here if you want the slides.
27:15I'll let you scan it for a second. We'll do, like, ten, nine, eight, seven, six, five, four, three, two.
27:30Good now? Okay. Alright.
27:33Well, thank you so much, and I'll be back in a little bit, but appreciate your time.
The Hook
The bait, then the rug-pull.
Six animals are sitting at a desk, none of them talking to each other. That illustration — a raccoon, a bear, a fox, a cat, each behind their own siloed tool — is how a marketing agency founder opens a conference keynote about why almost nobody is actually shipping with AI right now. The talk that follows is part architecture diagram, part live Slack demo, and part ROI confession: $2,500 in tokens, $500K in attributed value, and a CFO agent that found the savings his actual team missed.
Named ideas worth stealing.
03:00list
Four Levels of AI Adoption
- Unacceptable — no AI at all
- Capable — using ChatGPT/Claude for search-like queries
- Adaptive — end-to-end workflows
- Transformative — closed loops that self-improve and compound
A maturity model for organizational AI adoption. Most companies are stuck at Capable; Transformative requires closed loops.
Steal forAny audit of your own team's AI maturity, or a sales framework for positioning an AI implementation service
06:30model
Single Brain Architecture
- Human (operator / account lead)
- Single Brain (ambient agent in Slack/Teams)
- Fleet Commander (routes work, owns backend)
- Agent Fleet (specialist agents)
- Sub-agents (per-person customized fleets)
A five-layer org chart for AI-native companies. Single Brain sits in the existing communication tool so adoption friction is near zero.
Steal forStructuring your own multi-agent deployment or pitching an AI transformation engagement
24:12list
Three Moves by Friday
- Pick one workflow that repeats every week and provides the largest ROI
- Give it shared memory
- Give one seat a fleet and measure it
A minimal implementation checklist for getting started without boiling the ocean.
Steal forClosing a workshop or talk with actionable homework
How they asked for the click.
VERBAL ASK
24:12link
“QR code for the slides.”
Low-pressure: QR code with a 10-second countdown. No email gate. Clean exit for a conference context.
MENTIONED ON CAMERA
FROM THE DESCRIPTION
PRIMARY CTAWhere the creator wants you to go next.
OTHER LINKSAlso linked in the description.
Visual structure at a glance.
