The Path to Autonomous Agents Was Mapped Decades Ago. Nobody Noticed.

If you’re building autonomous AI agents, you already know the feeling. The technology is extraordinary — and maddeningly insufficient for the job. Context windows are larger than ever, but your agent still loses the thread on long tasks. Reasoning is sharper — but the hallucinations that slip through look more real than the data. You build a harness — constraints, verification loops, evaluation layers — and the agent gets better. Then the edge cases multiply. Then the real-world integrations start failing in ways no test suite anticipated. You’re solving a puzzle that keeps adding pieces. This is exactly what I was going through at Rishon , building agents that handle real business operations autonomously — hours-long phone calls with real people, real money on the line. Everything you’re