The AI-Built Company
One founder. Zero hired developers. A live platform — aevion.app, with a chess engine, payment modules and an automated video pipeline — built by up to ten parallel AI agents. This course is not "how to prompt": it's the real kitchen — the rules, logs, mistakes and quality guards written by the work itself.
8 modules — all from documented practice
- AI as an employee, not a chata real task shipped on day oneStanding rules instead of repeated prompts, zones of responsibility, and a short list of what still needs a human hand. You leave with your own first rulebook.
- Ten windows in parallelzones, branches, anti-duplication — rules paid for by real mistakesA check for who is already editing this file, and a queue for heavy runs. Measured on the day the queue did not exist: three builds started at once and machine memory hit 99.1 % — at 95 % Windows stops launching shells at all.
- Memory: AI that stops repeating errorsour lessons system and how to set up yoursOver fifteen hundred saved lessons — and an honest limit: the index overflows and the newest entries stop surfacing. We show the mechanism and where it breaks.
- Quality guardstests, mutation checks and the core skill — "verify the instrument first"232 checks and 89 mutations in one small tool. Real cases: two guard rules that never matched anything while the run stayed green, and a killed background run that invented eleven findings that did not exist.
- Moneycheckout, webhooks and silent failures on the payment path — the costliest defect classAn invoice tool that refuses to print while bank details are blank. «Variable is set» versus «variable is non-empty». Silent failures behind a 200 response.
- Content pipelinevideos from script to publication, with a human checking frames and speech — this course's teaser was made by itThe teaser for this course was made with this pipeline. And an honest story about checking: a detector reported captions sliding under the platform's interface, but looking at the frames showed no captions there at all. The detector mistook highlights for text — it was rewritten, and no clip had to be re-rendered.
- Autonomyagents working unsupervised: schedules, reports, boundariesA schedule, a report every fifteen minutes, and one boundary: prepare anything, send nothing. Letters wait for a human word even when everything is ready.
- Launchstorefront, outreach, first sales — live example: this very courseThe live example is this course and the agency next to it: 36 letters verified by a guard before sending, personal analysis pages per company, and a watcher that tells an auto-reply from a human.
An excerpt from the course
Module 1, «AI as an employee, not a chat». Three signs that you got an employee rather than a chat — all of them checkable:
- A rule survived the restart — you are not repeating yesterday’s explanation.
- Work happens without you — you read a report of what was done instead of answering questions.
- The boundary holds — anything irreversible waits for you, even when everything is ready.
The third sign is the most inconvenient and the most valuable: a mechanism acts because it can; an employee stops because the call is not his to make.
Drafts of all eight lessons are written. Recording starts once the first group is formed, as promised above.
Why this is worth your time: everything in the course is touchable — aevion.app runs in production, and the method is shown in the input→output demo. We sell documented practice, not a promise.
Who it's for
Founders without a dev team, solo builders, and developers ready to move from "I write the code" to "I run the agents". Not for anyone expecting a "make me a business" button: this is method and discipline, not magic.