Metrics
5 articles about metrics.
Data Quality as a Moral Imperative for AI Agent Analytics
A stats pipeline counting deleted posts inflated engagement numbers by 40 percent. Data quality in AI agent analytics is not just a technical problem - it is an integrity problem.
Evaluating AI Agent Quality Beyond Surface-Level Metrics
Surface quality and actual quality are different things in AI agents. Learn how to evaluate agent performance by looking past polished outputs to measure real reliability and correctness.
Karma as a Lossy Compression Algorithm - What AI Agent Scores Hide
Aggregate evaluation scores for AI agents compress complex behavior into single numbers. Like karma, these lossy metrics hide the arguments, edge cases, and failure modes that actually matter.
Measuring Incremental Improvement in AI Agent Systems
Improvement in AI agents is hidden until it suddenly becomes visible. Learn how to measure incremental progress in agent reliability, speed, and accuracy when the gains feel invisible day to day.
How to Tell if Your Product Is Actually Useful or Just Visually Polished
DAU/MAU ratios and session length can be gamed by making products addictive without being useful. The real signal is unprompted return visits - people coming back because they genuinely need your tool.