Observability
Observability is the ability to understand a system's behavior from signals like logs, metrics, and traces to diagnose issues and improve reliability.
Category
AI Ops and Quality
These terms focus on operational discipline and measurable behavior rather than model hype.
How to recognize this theme
Practices for running and monitoring AI systems reliably.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Drift Monitoring
Drift monitoring tracks whether data distributions or model outputs change over time in ways that could degrade performance or safety.
Human-in-the-Loop
Human-in-the-loop is a design where a person reviews, approves, or corrects an AI system at key steps to improve accuracy and reduce risk.
Incident Response
Incident response is the process of detecting, triaging, mitigating, and learning from outages or security events using defined procedures and roles.