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 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.