What is Continuous improvement loop?
A structured cycle: train, test, deploy, analyze, repeat. Systems that learn by default.
A continuous improvement loop is a structured cycle for getting better over time: train the agent, test it, deploy changes, then analyze where it struggles and feed those insights back into the next round of training.
The most successful organizations design systems that learn by default, turning every gap into a structured improvement rather than a one-off fix.
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Related terms
- Lightweight governance A low-friction way to keep iterating on an AI agent without bureaucracy.
- Proof of concept A focused evaluation of one strongest-fit agent in a realistic setting, not a multi-vendor bake-off.
- Sandbox testing vs. live testing Two environments for evaluating an agent: controlled sandbox and real production traffic.
- Human involvement rate How often humans step in, and whether those moments are genuinely high value.