Course
Building AI agents that actually work
Six agents, built three ways — the concept, the no-code version, and the code. Written from the ones I run inside my own business, including the parts that break.
The problem
Most agent advice stops at the demo
The demo always works. You give it a goal, it thinks out loud, it produces something impressive. Then you point it at your actual work and it wanders, invents a number, or stops halfway and calls it done.
That gap is not a model problem. It is a missing done-condition, too many tools, and instructions written like a prompt instead of a job description. This course is about closing that gap, six times, on jobs a one-person business actually has.
Three tracks
Pick your depth, or read all three
Track A — Concept
What an agent is, the four parts, the stopping rule, and how to tell when a prompt or an automation is the better answer.
Track B — No-code
Every one of the six agents built in a no-code assistant builder: instructions, tools, done-conditions, and the failures to expect.
Track C — Code
The same agents in TypeScript: tool calling, loop control, structured output, step caps, logging and cost control.
The builds
Six agents
- Research agent — turns an open question into a decision brief with prices, trade-offs and sources.
- Triage agent — classifies incoming messages and drafts the obvious replies without ever sending.
- Content line — idea to outline to draft to edit, each step with its own standard so it keeps your voice.
- Extraction agent — mixed documents in, one clean spreadsheet row out, with a count check so nothing is skipped.
- Follow-up agent — finds the follow-ups that quietly never happen and writes the specific message for each.
- Operator agent — the multi-step one: several tools, chosen order, structured result, capped and logged.
What you get
Inside
- Six agent builds, each covered at all three depths.
- The instruction blocks I use, in full, ready to paste.
- A done-condition worksheet so every agent you build is checkable.
- The failure catalogue: what breaks in week two and the fix for each.
- Working code for the operator agent, including tool definitions and step limits.
- A cost-control section: where the money actually goes in an agent loop.
Best for
Solo operators and small teams who want two or three agents running on real work — not a tour of every framework.
Not for
Anyone looking for an autonomous business. Everything here keeps a human on anything that sends, spends or deletes.
Straight answer
I am one person building this business in public. This course teaches the agent setups I run here, with their limits stated. It will not make you money on its own and I make no earnings claims — it will get working agents into your week.
Read first
Three lessons, free and complete
Questions
Before you buy
- Do I need to be able to code?
- No. Tracks A and B require none. Track C is there for when you outgrow the no-code version, and it is written so you can read it before you can write it.
- Which tools does it lock me into?
- None. The no-code track is written against the three things any assistant builder must have — persistent instructions, tools, and a destination — so it survives you switching platforms.
- Is this theory or builds?
- Builds. Every section ends with something running. The concept track exists because skipping it is why most people's first agent does not work.
- Can I see some of it first?
- Yes. Three lessons are published free and in full: what an agent is, one complete no-code build, and the six patterns. They are linked below.
- What is the refund policy?
- Covered by the standard refund policy on this site. If it is not what I described, ask and you get your money back.