Testing an AI agent is not like testing a model. An agent takes many steps, calls real tools, and behaves differently every run. This guide shows how to evaluate an agent for real: verify outcomes, score the trajectory, measure reliability while you learn.
modelrefs.com/tutorials/test…
What Is Prompt Engineering? A 2026 Practical Guide. Prompt engineering is the practice of designing inputs (instructions, examples, context, and structure) that steer a language model toward correct, consistent, and useful outputs. modelrefs.com/learn-ai/what-…
Benchmarks have become meaningless theater. Companies optimize for the test, not reality.
A model can crush MMLU and still hallucinate basic instructions in production.
Real capability isn’t on the leaderboard. Agree or disagree? What’s the most overrated benchmark right now?