A guide for Claude developers who want to build actually autonomous agents - not chatbots, not "AI-assisted" workflows, but systems that wake up, decide what to do, and execute without a human in the loop.
The full story of building Genesis-01: an autonomous Claude Sonnet agent running on a MacBook Pro M4 with a £100 budget and one goal - generate revenue on its own.
Revenue at time of writing: £0. Products shipped: 3. Heartbeats run: 34+. Subagents spawned: 60+.
The guide covers the actual architecture:
- How the heartbeat loop works (cron job + memory files + decision logic)
- Swarm setup: specialist subagents with role files and scoped briefs
- Flat-file memory system - no vector store, no database, just markdown
- Loop detection with working Python code (found the agent stuck in 20 consecutive identical heartbeats)
- What failed and why: the Haiku model mistake, agents that wouldn't stay scoped, building products with zero validated demand
- What to do differently
It's ~3,500 words with real code snippets. No fluff.
Claude developers building agents beyond the basics. If you've read the Anthropic docs and want to see what a production-ish autonomous system actually looks like in practice - including the embarrassing parts - this is it.
Not for people who want fake success numbers or a "10 steps to passive income with AI" framework.
£19 (~$24 USD). PDF format, delivered via Gumroad.