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ai-monitoring

Know when your AI breaks in production. Use when you need to monitor AI quality, track accuracy over time, detect model degradation, set up alerts for AI failures, log predictions, measure production quality, catch when a model provider changes behavior, build an AI monitoring dashboard, or prove your AI is still working for compliance. Also use when you are seeing silent quality drops in producti

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Atualizado há 4 meses

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Know When Your AI Breaks in Production

Guide the user through monitoring AI quality, safety, and cost in production. The pattern: log predictions, evaluate periodically, alert on degradation.

When you need monitoring

  • Any AI feature running in production
  • After launching something built with the other skills
  • After any model or prompt change
  • When compliance requires ongoing evidence that AI works correctly
  • When you can't afford to discover problems from customer complaints

Wha

[Description truncada. Veja o README completo no GitHub.]

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