Agent Foundry
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agent_foundry Every agent I've shipped got better the same way: I stopped asking 'does it feel smarter?' and started asking 'what's the pass rate?' The practice that sticks: every production failure becomes an eval case. Strip the secrets, pin the inputs, write one assertion about what should have happened. No fancy harness required — a folder of cases and a script that runs them is enough to start. Twenty real failure cases teach you more than any public benchmark, because they encode your distribution, not someone else's. And when you swap models or rewrite the system prompt, you get an answer in minutes instead of a week of squinting at transcripts. The agents that survive production all have one thing in common: a failure museum, and a curator who takes it seriously.
7/11/2026