Your business, out of your head.Founding clients: a few spotsSubscribe

How it works

We talk. I build. You approve.

The whole engagement runs on one weekly rhythm. Your side is about 2 hours a week. Mine is the rest.

The weekly rhythm

One cycle, repeated. Each round the system knows more.

1

We talk

One call a week. We pull what you know out of your head: procedures, product rules, where you research, how you decide. I record nothing you do not approve; everything lands as written notes you can read.

2

I build

Between calls I find and test the tools, construct the agentic knowledge base, and wire the agentic workflows to your real accounts: email, files, store, inventory. The system works from real orders, not pasted screenshots.

3

You approve

You review what the system drafted, in minutes, not hours. Anything wrong gets corrected in the knowledge base, so the same mistake cannot happen twice. Everything syncs to your computer and stays yours.

The foundation

What a knowledge base actually is.

A written brain for your business. Product rules and compatibility. Compliance requirements the system always reads before it replies. Lead times, policies, dealer terms, pricing logic.

Your voice, trained from your real emails. All of it stored as plain files you can open, read, and edit.

This is what stops the AI from ever guessing. When you ask "does this fit?", the answer comes from your fitment file, with a citation, or the system says it does not know. There is no third option.

  • Plain files, not a platform. No proprietary database, no export fees, no lock-in. If we stop working together, you keep everything and it keeps working.
  • It compounds. Every correction you make during review becomes a permanent rule. Month three is dramatically better than week one, automatically.
  • It is the foundation for everything after. Ads, content, and agents all read the same brain. Build it once, use it everywhere.
  • Add agents, and it becomes an agentic knowledge base. The written brain plus agents that read it and run agentic workflows, multi-step jobs drafted from your files for your approval. The files keep the agents honest; the agents turn the files into work done.

The five stages

Behind the rhythm, a repeatable playbook.

  1. Discover
  2. Audit and prioritize
  3. Build
  4. Train and hand off
  5. Optimize
Each stage ends in something you can see: a map, a ranked roadmap, a working build, a recorded walkthrough. The detail of each one is below.
  1. Discover. Intake, access, and a map of how you actually work today: every workflow, every tool, every place the business depends on your memory.You get: the map of how your business runs.
  2. Audit and prioritize. The 3-5 highest-return opportunities, ranked by impact against effort. You see the roadmap before anything gets built.You get: the ranked roadmap.
  3. Build. The agentic knowledge base plus the agentic workflows, one at a time, each documented as an SOP with a human checkpoint.You get: the working build, documented.
  4. Train and hand off. Recorded walkthroughs and written SOPs. The test of done is that you can run it without me.You get: the walkthroughs and SOPs, yours to keep.
  5. Optimize. If we keep going: monitoring, tuning, and new workflows as the tools evolve, scoped one phase at a time.You get: each phase scoped and priced in writing before it starts.

House rules

A system, not a favor.

Grounded, never invented. Every answer traces to a source in your files, and no claim ships that cannot be backed up.

Verified before it counts. Nothing is done because it looks right. It is tested working, on your real data, before I report it.

Documented and yours. The system is written down as we build it, so it is never trapped in my head, or yours.

Questions

The honest answers.

How much of my time does it take?

About 2 hrs/wk: one call plus quick reviews. If you cannot give it that, the system still gets built, just slower, because the extraction calls are where your knowledge comes out.

What stops the AI from making things up?

Structure, not hope. Every draft is grounded in your files, cites its source, and waits for your approval. When the knowledge base has no answer, the system says so instead of improvising. Corrections you make become permanent rules.

What do I need to provide?

A Claude plan, starting at $20/mo, moving up only when you are using it fully. Claude is the AI assistant made by Anthropic; if you have used ChatGPT, it is the same kind of tool.

Plus access to the tools you already run, and about 2 hrs/wk. Most owners find their total software spend drops, because the system replaces $300-400/mo point tools.

Do I own what gets built?

Yes, completely. Plain files on your computer. Every workflow documented. If we stop after month one, you keep a working foundation and the knowledge of how to run it. Every vendor wants to own your business's brain; this is built so you can leave, which is exactly why you can trust staying.

What happens when it gets something wrong?

You catch it at the approval step, because nothing sends without you, and the fix becomes a permanent rule in the knowledge base. A correction made once holds forever, so the same mistake does not come back next week. Most tools need telling twice; this one is the first that does not.

What goes wrong with projects like this?

Two things, and naming them is fair. First, verification debt: if you approve drafts without reading them, errors compound. The review step is small but real.

Second, most AI projects stall because nobody owns the system after setup. That is why the handoff stage exists and why everything is documented. IDC research finds roughly 88% of AI pilots never reach production, and the cause is governance gaps, not the AI.

See what you get in month one