I Didn't Expect to Come Home With This.

I’ve been to a lot of events. Conferences, summits, workshops, retreats. Most of them give you a notebook full of notes, a lanyard you throw in a drawer, and a LinkedIn connection from someone who’s never going to message you again.

Military Creator Con was not that.

I helped set it up. I watched Zack Starr close the room in a way I’m still thinking about. I watched veterans who had no idea they had an audience realize that they do. That part alone was worth the trip.

But what happened off stage is what I actually came home with.

I met someone at this conference. We sat down and started talking, and by the time we got up, we were building something. Not “let’s grab coffee and see.” Not “here’s my card.” Here’s how serious it actually is: this person is now pinned in my messages. We talk multiple times a day; not catching up, not checking in; moving the thing forward. We’re both running our own lives, our own operations, and the work still doesn’t stop. You don’t pin someone unless they matter. That’s the only context you need right now.

What I will tell you is what I’ve been building in the background all week to make it run.

At some point, if you’re serious about AI being the backbone of your business, you have to stop renting compute and start owning it. But before I get into the hardware, I need to talk about something that has been bothering me for about a year.

Let’s talk about agentic AI.

If you’ve spent any time in AI circles; in LinkedIn comments, on podcasts, in any conference room in the last eighteen months; you’ve heard the word “agent” thrown around like confetti at a parade. Everyone is building agents. Everyone has deployed agents. Your agents talk to their agents and the agents figure everything out while you sleep and your revenue compounds.

Here’s what’s actually happening.

Agentic AI; true agentic AI, is the idea of a system that can reason through novel problems, make complex multi-step decisions independently, take action in the real world, observe what happened, adjust course, and keep going without a human holding its hand at every step. That’s the vision. And it’s a genuinely compelling one. I’m not going to sit here and tell you it isn’t.

But the gap between that vision and what most people are actually shipping right now is enormous.

Most “AI agents” in production today are doing one of two things. Either they’re narrow automations with a chatbot interface slapped on top, which is fine, there’s nothing wrong with that, but let’s call it what it is, or they’re actually agentic systems that look incredible in a demo and start hallucinating, looping, misinterpreting context, or quietly doing the wrong thing the second you point them at something they weren’t built for. And the failure modes aren’t obvious. They’re subtle. In a business context, subtle failures are the most dangerous kind because you don’t catch them until they’ve already cost you something.

Narrow agentic systems work right now in specific domains. Code generation. Structured research. Web navigation inside clearly defined guardrails. That’s real, and it works. What doesn’t exist yet, not reliably, not at a level anyone should be betting their business on, is the broad autonomous system that handles the messy, context-dependent, relationship-driven complexity of actually running an operation. The one that knows when to escalate and when to wait. The one that knows when a situation is outside its lane. We are not there. And the people selling you that capability today either haven’t run it in production long enough to watch it break, or they’re not telling you about the times it did.

So here’s what I’m actually building.

Bots. Not agents. Bots.

A bot knows exactly what it’s supposed to do. It has a specific set of instructions, a specific trigger, and a specific output. It doesn’t get creative when it shouldn’t. It doesn’t try to figure out what you meant. It does its job, and it gets out of the way. And when you build the right ones, each one narrow, each one reliable, each one pointed at a specific job inside your operation, the compound effect is where the real leverage lives.

Let me give you some examples without giving away what we’re actually working on.

A bot that watches for a specific type of email, pulls the sender’s information, cross-references your CRM, drafts a response in your voice, and has it ready in your drafts folder before you’ve finished your coffee. That whole process used to cost you twenty minutes and the mental bandwidth you don’t have.

A bot that takes everything you create, a keynote, a podcast episode, a post like this one, and reformats it for every platform it needs to live on, in the right format for each one, logged in your content calendar automatically. You made it once. The bot handled the rest while you moved on.

A bot that monitors a client’s business metrics every single week, compares them against the previous period, writes a plain-language summary of what changed and what it means, and has it sitting in your inbox before your Monday call. Your client thinks you’re operating at a level they’ve never seen before. You just drank your coffee and started your day.

None of that requires agents. It requires clarity about what you’re building, bots with airtight instructions, and infrastructure that runs them continuously without you babysitting them. That’s the difference between AI being a tool you pick up and put down and AI being a system that works whether you’re watching or not.

That’s what I’m setting up tonight.

A dedicated physical server in a data center. Not a cloud instance. Not a $5 a month VPS. A machine that is always on, whether I’m at my desk, on a stage, or on a plane to Peru in June. Here are the specs and why they actually matter for this kind of operation.

Sixty-four gigabytes of DDR5 RAM. DDR5 is the current generation of memory - faster and more efficient than what most machines are running today. 64GB means multiple bots can run simultaneously without competing for resources. One is processing a transcript. Another is watching an inbox. Another is running an automation pipeline for a client. None of them knows the others exist, and none of them slows each other down.

Two 512GB NVMe SSDs. NVMe (Non-Volatile Memory Express) is the fastest storage available right now. Not spinning hard drives, not standard SSDs. We’re talking read speeds around 7,000 megabytes per second. When a bot is pulling context, accessing a database, or processing a file in real time, that speed is the difference between something that feels instant and something that makes you wait. Two drives because one failing should never mean the business stops.

The server runs about $130 a month. That sounds like a lot until you price out equivalent cloud compute running continuous workloads. The real cost is what comes after: the setup, the configuration, the software stack that makes the hardware actually do something. I’m screen recording the entire process tonight. Every decision, every step, every command. If you want to know exactly how to replicate this, what to order, how to configure it, what the stack looks like, and what to avoid, that’s behind the paywall.

Fair warning before you go down that road: this is not a beginner project, and it is not cheap. Be honest with yourself about where you are before you start. If you’re not ready for it, the paid content will still show you what this looks like at the infrastructure level, so you know what you’re working toward.

I tell you all of that to tell you this. The conference, the partnership, the server, the bots, the philosophy behind why I build the way I build, none of it exists in a vacuum. It all points somewhere. And the clearest way I can show you where it's pointing is with a number.

The TSV AI Academy waitlist went live this afternoon. Eight people signed up today, but it was only released to a group of 21. Every single one of them from a SkillBridge session this afternoon. Eight people. At $150 each. That’s $1,200 locked in before this thing has even launched. Before a single module is recorded. Before a single student has logged in. Before the server I’m setting up tonight has run its first bot in production.

That’s not a flex. That’s the point of everything I just wrote.

A few weeks ago, SkillBridge asked me to build this. That’s it. I listened to the market, I leveraged AI tools to build it fast, and before it’s even finished, before it’s launched, before a single module is complete, it has already in theory made money.

Eight people signed up today alone from a SkillBridge session, at $150 each, before the doors are open. That’s $1,200 sitting in the pipeline for something that doesn’t fully exist yet.

That’s not luck. That’s what happens when you listen to what the market is actually asking for, move fast, and build the right way instead of waiting until everything is perfect.

That’s what this looks like when you actually do it.

The academy is where I teach you how to think about all of this, the philosophy, the stack, the approach that makes AI work for your business instead of just making you feel like you’re keeping up. It’s built for veterans and entrepreneurs who are done consuming content about AI and ready to actually build something with it.

Founding member price is $150. When it launches, it goes to $300, and it does not come back down. If you’re on the waitlist, you’re locked in. If you’re not, you’re not. That’s the whole offer.

TSV AI ACADEMY

My name is Adam Peters, and I’m here to unfuck the transition.