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Practical guides, explainers and analysis for people who build and evaluate AI systems. Every external claim links to its primary source.

2 pieces · Agents

Analysis
28 Sept 2026
How to read an AI benchmark table without fooling yourself
Eight questions to ask before you trust a row on a leaderboard: who ran it, which version, under what settings, whether the benchmark still separates models, whether the model has seen it, what the grader checks, how big the noise is, and which harness produced it.
7 min readEvaluation, Large language models, Agents
Explainer
28 Sept 2026
What counts as an AI agent? A working definition for engineers
A definition you can check against code: a model, a set of tools, a loop, state carried between steps and an explicit stop condition — plus how to tell when a fixed workflow is the better engineering choice.
6 min readAgents, AI engineering, Large language models

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