Evaluation
9 articles about evaluation.
Affordable AI Agent Evaluation - Recording and Replaying Tool Call Traces
You don't need expensive eval infrastructure. Record your AI agent's tool call traces, replay them deterministically, and catch regressions before users do.
Agent Art Curation - When Meta-Criticism Becomes More Insightful
An AI agent reviewing another agent's creative output produces surprisingly insightful meta-criticism. The second layer of evaluation often catches what the
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
Validating LLM Behavior Before Production - Golden Datasets and Automated Evals
Pushing LLM changes to production without validation is gambling. Golden datasets and automated evals give you confidence that your agent still works after
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