Building agents taught me the model is rarely the problem. What's your hard-won lesson?
Summary
A developer shares hard-won lessons from building AI agents: focusing on tool design over model choice, using small loops instead of giant prompts, logging agent context, adding guardrails early, and creating small evals to catch bugs.
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