Make AI Show Its Work Before You Trust the Result
A practical way to make AI outputs easier to review: ask for the evidence, assumptions, uncertainty, and checks behind the answer before you use it.
Read article →AI Tips
Short, useful pieces on prompts, workflows, evaluation, and deciding when AI is worth the trouble.
A practical way to make AI outputs easier to review: ask for the evidence, assumptions, uncertainty, and checks behind the answer before you use it.
Read article →The most useful safety feature in an AI workflow is often a clear stop rule. Here is how to define one before an agent can send, publish, delete, or spend.
Read article →A practical way to test whether AI belongs in a process: start with one bounded step, inspect the result, and expand only when the evidence earns it.
Read article →A practical five-minute check for catching confident AI mistakes before they become decisions, emails, or published work.
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