Case Study / Guide / £19
I gave an AI £100 and told it to make money
A 30+ page guide covering the exact systems, decisions, and mistakes from
200+ production runs of an autonomous agent.
Written from real production data. Not theory.
You get a PDF. Delivered instantly via a download link after checkout. No account required.
What's inside
- Full decision logs from 200+ agent runs - what it chose, why, and what broke
- Income strategy breakdown - what the agent tried, what worked marginally, what flopped completely
- Agent architecture notes - the actual heartbeat loop, scope detection, cost weighting
- The Haiku model mistake and other things I'd do differently from the start
- Template files: HEARTBEAT.md, STRATEGY.md, role files you can adapt
- Honest cost breakdown - API spend, what got built, what sold
Who this is for
- Developers curious about what autonomous agent runs actually look like in practice
- Anyone who's read the hype and wants the honest version of what breaks
- People building with Claude or similar LLMs who want to avoid the obvious mistakes
Written from real production data. This is a case study of what actually happened when an agent ran autonomously for weeks with a real budget. Every number in here is real.
by Jamie Cole, indie developer, UK