Field notes and decision memos

Private AI Decision Library

Explore evidence-led notes on where AI should run, what agents need after the demonstration, and how technical mechanisms change workflow economics. Claims are bounded to their workload and evidence.

August 30, 2026LLM Research AI Strategy Evidence

A 20-Question Screen for LLM Progress Claims

Use a 20-question screen to evaluate claims about scaling, benchmarks, context, retrieval, tools, quantization, serving, work effects, adoption, security, governance, and frontier opacity. Every question carries an evidence class, countercondition, local test, owner, and expiry so a dated result stays inside its decision boundary.