
Quick gut check I've been using while building AI systems:
- Are we storing everything or only what matters?
- Can the system update what it "knows" about a user over time?
- Can that knowledge be inspected and corrected?
- Do our evals catch edge cases and regressions?
The hard part is not generating responses.
It's building systems that learn in a reliable way.
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