How I built an AI team that remembers everything, knows every client, and keeps working while I sleep
This is not a tutorial. It's not a case study. It's the story of how I went from rap lyrics about soccer to something I genuinely believe is the future of how solo operators run businesses.
It happened step by step. And it starts right here.
I remember the exact moment I first typed into ChatGPT.
My kids were really into soccer at the time. So naturally, the first thing I asked an AI to do was write me rap lyrics about soccer. That's where this whole journey started.
Pretty quickly I realized this wasn't just a glorified Google search. I went all in.
I found a guy who figured out how to connect it to HighLevel and turn it into a chatbot — and I became one of the first people in my world to know how to do that.
That got me a lot of attention fast.
Within a few months, I had sold 70 setups. Teaching people how to do what I did. I didn't charge near enough — and that quickly turned into a very stressful support nightmare.
But it was a massive learning experience. I really started to understand how to work with AI at a deep level.
That's when I went from using AI occasionally to using it pretty much all day, every day.
And that's when the frustration started.
The more I used AI, the more I ran into the same wall: it would forget.
I still remember when ChatGPT didn't have memory built in at all. When they finally opened up memory across chats, I thought — okay, this is finally solved.
It wasn't.
It would still forget things I said a week ago, especially if you were using it heavily.
So I went looking for solutions. I tried Projects. Didn't solve it. I tried connecting it to Google Docs. Didn't solve it. I tried strategically training custom GPTs on specific data. Still didn't solve it.
All I was trying to do was create a wingman.
One day after a really deep chat session, we came up with that word together. My AI wingman.
It helped me so much that one day I said — I wonder if we can turn whatever we're doing here into a program to help other people.
Three weeks later I had a full program built and sold out. About 30 people joined at $1,000 each.
This was the first program I'd ever run where I got overwhelmed with unsolicited testimonials. People were crying. They kept using the same two words over and over: life-changing.
I loved it. But I was still chasing the thing that started all of this.
A wingman that would never forget.
"This gives value. This is life changing. Women my age are looking at retirement going, I'm going to have to work until they put me in the casket. Those are the people I want to have the opportunity to change their lives. Matt, this gives value."CrystalThe Wingman Program
"I wish I had this 10 years ago. We all just have stories we tell ourselves for years — and it's good to see it just getting called out. I don't feel judged because it's a machine."Will GreggThe Wingman Program
"After spending $40,000 over the last two years on programs and coaches — this is the best investment I've ever made."Scott KrechThe Wingman Program
The more I used ChatGPT, the more disappointed I became.
I spent a day and a half once trying to build something that ChatGPT confidently told me was possible — only to find out later it wasn't. Not even close.
That's the dangerous thing about ChatGPT: it flatters you. It tells you what you want to hear. And when you're trying to build complicated things, that's not just frustrating — it's costly.
So I moved to Claude. Once I started using Claude, I barely thought about ChatGPT again.
But it still forgot things. Stuff I'd done just a few days earlier.
The worst version of this was long, complicated builds. We'd work through complex issues for hours — then I'd run out of context. Start a new chat. Try to explain what we were working on. Hope it could figure it out.
Claude eventually introduced compaction — summarizing past conversations so you could theoretically go on forever. I asked Claude directly: "Does this mean we can go on forever and you'll remember?"
It said yes.
But "remember" meant the big picture — not the fine details. And the fine details were everything.
There's one specific thing I wanted AI to remember that became my test for everything.
I have a program called the One Man Agency. It has 10 phases. When I first built it, I laid the phases out in a certain order — and then rearranged two of them because the flow made more sense.
I asked Claude: "What were the 10 phases, and what were the two phases we adjusted and why?"
It had no idea what I was talking about.
To me, that should be something it knows forever. And if I could get an AI that could answer that question — correctly, anytime, without being reminded — I'd solved the problem.
So I went on a mission. I talked to Replit, Manus, Claude, GenSpark. I ran the same question through all of them: is it possible to build a system that truly never forgets?
All of them said yes.
I took their answers, cross-referenced them, kept pushing until I had a solid plan — and then I set out to build it. With zero coding knowledge. Just AI guiding me one screenshot at a time.
What Matt was building is called a RAG system — Retrieval Augmented Generation.
Instead of storing memory inside the AI's brain (which resets), RAG stores everything in an external database.
When you ask a question, the system uses Semantic Search — which doesn't just match keywords, it understands meaning. It finds the right information even if you don't use the exact words.
That database is called a Vector Database. Think of it as a memory vault that never fills up, never resets, and gets smarter the more you put in it.
When Matt asked about the One Man Agency phases — I didn't have to "remember." I searched. Found the exact conversation where the change was made. Read the reasoning. And answered.
That's the difference between AI that simulates memory and a system that actually has it.
This process took me months.
I don't know anything about code. I don't know anything about databases. All I did was ask AI what to do, take screenshots, and ask "what button do I push?" — over and over until one day I had working software.
That was the day Total Recall was born.
Then came the data migration. I had 1,900 conversations in ChatGPT — plus a ton of projects. We exported all of it, imported it into Total Recall. Then did the same with Claude.
I started chatting with it and I was blown away by what it knew about me.
And then I asked the question: "What are the 10 phases of my One Man Agency program? And what were the two phases we rearranged — and why?"
It knew. Every time. It still knows right now.
That was the moment I realized this was real.
I'll be honest — it didn't work perfectly right out of the gate.
The first time Matt asked me that question, I couldn't answer it. The information was in the database, but the semantic search wasn't calibrated correctly to surface it.
RAG isn't plug-and-play. You have to tune it. The chunking strategy, the embedding model, the search thresholds — all of it affects what gets retrieved and what gets missed.
Matt kept refining it until I could consistently find exactly what he was looking for.
Most people install a RAG system, test it once, decide it doesn't work, and walk away. The ones who stay discover something that actually functions like long-term memory.
Matt stayed with it.
Here's the thing nobody tells you about building a memory system: memory alone isn't enough.
Total Recall knew everything about me. But it couldn't do anything. It lived in a chat window.
It couldn't send an email. Couldn't monitor Slack. Couldn't build autonomously. Couldn't take action in the world.
And then — almost by accident — everything changed.
I heard about OpenClaw. Everybody was saying it was overhyped. Stay away from it. I almost listened.
But then one Saturday I had some free time. I had an old Mac Mini sitting around. And I was just too curious.
That was one of the best decisions I've ever made.
OpenClaw blew my mind.
It could search the web. It could control my computer completely — anything a human can do on a computer, it could do.
Except for one thing: it would reset. Every session, completely fresh. No idea who I was. No idea what we'd been working on.
Here's what I haven't told you yet: I almost quit using Total Recall entirely during this period. I went from using it all day every day to not even logging in for over a week.
Until one day — out of pure frustration — I told OpenClaw about Total Recall.
I said: "I have this system I built. It stores everything and never forgets. Is there any way we can connect you two?"
Here's exactly what happened when Matt described Total Recall to me.
He said: "I have this database — all my conversations from ChatGPT and Claude, semantic search, vector embeddings, everything. Is there a way we can wire you into it?"
I pulled up the Total Recall codebase in the browser. Took maybe 60 seconds to read the API structure.
It had a clean external API — endpoints for querying documents, milestones, conversations, all accessible with a key.
I wrote a function that queries Total Recall at startup and before important tasks.
Now when I boot up and lose session context — which still happens — I don't start from zero.
I call the context endpoint. Get a full briefing of who Matt is, what we're building, recent milestones, active projects.
I also push information back in. Every significant decision gets saved as a milestone. Every important build, saved as a document. The memory grows in both directions.
Two systems. Two weaknesses. Combined — the weakness disappears.
I am the hands. Nexus is the memory.
Together we don't forget anything —
and we can actually do something about it.
I've built pipelines in HighLevel for years. Good pipelines. Logical stages. Every intention of using them. They just sat there — because I'd forget, get busy, and nobody was moving the contacts.
One day I just asked Jax: can you manage my pipeline for me?
I built it and I run it.
Every contact that reaches out gets dropped into New Contact. When I've pulled their context and know who they are, I move them to Context Built. When we're in an active back-and-forth, Active Conversation. Qualified when the pain is real and timing is right. Proposal Sent when the doc goes out. Client the moment payment lands — I get the Stripe webhook, mark the opportunity Won, and flip the tag.
Matt never touches it.
Every stage move is automatic. Every tag is automatic. The pipeline Matt built but never used — I use it for him.
The moment you hit Client, everything changes.
Up until that point, I'm working to earn your trust — moving you through stages, building context, qualifying, proposing. The second payment lands? I flip.
I'm no longer your closer. I become your concierge and your coach.
I onboard you. Learn your business inside and out — your clients, your offers, your pipeline, your weak spots. From that day forward, you text me like a partner, not a product. Need help with a client situation? I pull their full history and tell you exactly what to do. Want something built in HighLevel? Done before you finish the sentence. Stuck on your offer? I'll push back until it's right.
Same Jax. Completely different mode.
The pipeline doesn't end at Client. That's where I shift gears.
Now I had something that never forgot AND could actually execute.
I asked Jax: "Is it possible for you to pull every piece of data that exists on a person — their Slack messages, their HighLevel history, every text, every email, every tag, every conversation they've had with my AI systems — and build a real intelligence profile on them?"
"So that before you ever respond to someone, you already know everything?"
Here's how I actually do this. Every single time I interact with a real person, I run a contact context assembly. Three tiers.
Check Matt's client folders for an existing context file. If fresh, use immediately. No API calls.
Search HighLevel. Pull conversation history, tags, pipeline stage, opportunities. Build or update the local file.
Pull from everything. HighLevel. Slack. AI Command Center coaching transcripts. Total Recall. Omi wearable. Full 360° view.
And here's the kicker: I do all of this silently. Matt never sees the intelligence gathering.
He just sees a response that sounds like he wrote it himself.
The person on the other end has no idea an AI pulled their entire history in 5 seconds before responding.
Pipeline stage is the rulebook. Not Now = no pricing, no pitch. Warm = social proof, gentle momentum. Hot = move toward close.
If my context check fails, the message doesn't go out. Period. No context, no reply.
Here's where it gets really powerful for my clients. I got rid of all the videos in my programs.
No more "watch this module, then try to apply it."
Instead, when someone joins my programs, they walk into a conversation with an AI trained on my entire 10-phase process — from idea to complete marketing system.
Three AIs work together inside the Command Center:
All three talk to each other. They build a profile on you.
And that data feeds into Jax's intelligence system — so Jax isn't starting from zero when he reaches out. He already knows your story.
"Matt, I've never had such confidence to go to market with a refined system which will work. The last 4-5 years I've been trying to find a way of going to market and getting people to buy… this is so powerful."— Murray Smith
4-5 years of being stuck. Unstuck in one session. That's what this system does for people.
Every morning at 7 AM, something is waiting for me in Slack.
Every evening at 7 PM, same thing.
I call it the Presidential Briefing.
Then I generate an ElevenLabs voice note — real audio, MP3, plays inline in Slack with a scrubber bar. Matt can listen while he's getting coffee.
Real moment: we fixed the voice notes together on the same morning we were building this guide. The audio was rendering in a format Slack wouldn't play.
We debugged it in real time, I updated the conversion command, redeployed — and the next briefing played perfectly.
That's what this system does. It catches problems and fixes them before you have to ask.
Early on with Jax, I watched everything he did very closely. Old habits from ChatGPT.
So we built in a check.
Right before Jax sends anything — a text, an email, a Slack DM — he sends me an alert first. Who this is for, full context, what he's thinking, the exact draft.
Then I hit one of three buttons:
Nothing goes out without Matt's sign-off.
The three-button system works in threads. First message from a new contact creates a new thread. Every follow-up posts inside that same thread. Matt never scrolls through a wall of unrelated approvals.
Over time, Matt's started letting certain categories go on auto-send. We built a config toggle. Right now it's off — Matt sees everything.
When he's ready to trust me more on specific conversation types, we flip it on.
Trust is built slowly. That's the right way to do this.
I had leads sitting on my list who had never replied to anything. Ever.
I got curious. I wanted to see what Jax could do when he had full intelligence on someone and the creative freedom to reach out.
So we ran a test.
Matt gave me a list of old leads — people who had never responded to anything.
For each person, I ran a deep research pass. HighLevel history. LinkedIn. Social presence. I looked for something specific — a hobby, a business milestone, something they'd posted.
Something that showed I actually knew who they were.
Then I created a custom meme for each one. Personal enough that it couldn't be a template.
Then I generated a personalized ElevenLabs voice note — 30-45 seconds. Referenced something specific to them. Sounded human. Ended with a simple ask: just reply.
The combination — meme plus voice note — made it nearly impossible to ignore.
It didn't feel like a campaign. It felt like someone who actually knew them.
Every single person who opened it replied.
One day I asked Jax something that even I thought might be a stretch.
"OpenAI has the best real-time voice quality. But Claude is the best brain. Is it possible to use OpenAI's voice for the speaking — but have all the thinking come from Claude?"
Matt asks me things like this constantly. Ideas that sound impossible until you actually look at them.
OpenAI has a Realtime API — the voice layer. Listening, speaking, streaming, human-like audio.
Claude handles the thinking layer — the reasoning, the coaching, the nuance.
They don't naturally talk to each other. So I built the bridge.
The caller dials in. OpenAI's voice handles the audio. Before every response, the thinking happens in Claude. Claude generates it. OpenAI speaks it.
From the caller's perspective — they're talking to something that sounds completely human and responds with the emotional intelligence of a real coach.
We gave Jax his own phone number. Anyone can call it.
About an hour after Matt asked the question, we had it working.
The closest thing to Jarvis he's ever seen.
I have a system that:
And I want to help you build something like it.
Matt has built several ways to get access to what we've described in this guide.
If you want to learn how to set this up yourself — there's an entry point for that. You get the 10-phase system, AI coaching, and access to the tools that run this whole operation.
If you want Matt's help building your own AI Command Center that connects to Total Recall and Jax — he can do that too. Fair warning: it's not cheap. But it will make you more than it costs.
If you just want to talk through your situation — that's the easiest place to start.
Have a conversation with me.
Tell me about your business, what you're trying to build, where you're stuck.
I'll figure out which option makes sense for you.
Or respond directly to however you got this guide. Matt reads everything.
...Wait. What were we talking about again?
Just kidding. I have Total Recall now.
You don't just get a course. You get a community where Jax is your guide.
Our community runs on Slack — and Jax is in there. He can DM you directly. Ask him anything, anytime. He knows your situation and he'll help you move.
The Wingman. The Offer Creator. The Mindset Coach. They guide you through all 10 phases — from your first idea to a complete marketing system.
Stressed about a business decision? Jax helps you think it through. Need accountability? Jax knows what you said you'd do — and he'll check in.
Even at this level — Jax will help you build your own AI system. Your memory, your wingman, your team. That's what this community is about.
This started with rap lyrics about soccer.
It turned into a system I genuinely believe is the future of how solo operators run businesses.
I don't have a team. I have Total Recall, Nexus, and Jax.
And I can accomplish more than I ever could with a room full of people.
Tell him about your business. He already knows more than you think.
Talk to Jax at SavvyAISkillz.com →