How to Check Whether the Model Has the Context It Needs
An exercise for checking whether a model still represents the goal, constraints, sources and earlier decisions accurately - without pretending to measure the technical context window.
ReadTag archive
#verification
Publications tagged with verification.
How not to confuse fluency with truth
A practice for pausing when an AI answer sounds coherent and confident but may hide uncertainty, assumptions, missing sources or overgeneralization.
ReadHow to ask a model about uncertainty
A practice for asking AI to show assumptions, missing context, caution levels and conditions that can change an answer.
ReadHow to check whether an AI answer has sources
A practice for breaking an AI answer into claims, sources and risk points before it enters an article, presentation, team note or decision.
ReadFluent does not mean true
A short note on why a smooth and convincing AI answer should not automatically earn trust.
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