Improve

The loops that make an agent better than it was last month — measure it, read its own traffic back, and turn finished conversations into something the next conversation can use. Every one of them ends at a human approval.

  • Evals — the cases that grade an agent, and the gate that stops a regression.
  • Refinement — production traffic read back as a ranked report of what broke.
  • Outcomes and follow-ups — what the traffic was worth, and coming back on a promise.
  • Knowledge — durable concepts extracted from finished conversations.
  • Facts — distilled customer memory, approved one fact at a time.
  • Harvest — skills mined from real traffic, promoted only if two gates hold.

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