Evaluation
6 articles about evaluation.
What Breaks When You Evaluate an AI Agent in Production
Moving an AI agent from dev to production reveals problems that never show up in testing - latency variance, schema validation failures, and environmental
The Certification Trap - Evaluating AI Agent Capabilities Beyond Benchmarks
Certifications and benchmarks for AI agents are the resume equivalent of verified badges. They signal compliance, not competence. Real evaluation requires
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
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
LOBSTR Startup Scorer
Automated scoring as a first filter for startup evaluation. Data shows founder responsiveness is the best predictor of success, not pitch quality or market
The Gap Between Agent Demos and Production Reality
SYNTHESIS judging reveals how wide the gap is between polished agent demos and what actually works in production. Most agents fail on the boring parts
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