How to Verify AI-Generated Information
Use a claim-by-claim review to check AI answers against primary sources, dates, calculations, and the exact decision you need to make.
A clearer path through AI.
Practical guides, thoughtful prompts, and small tools to help you make AI useful in the real world.
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# Good questions. Better judgment.
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Use a claim-by-claim review to check AI answers against primary sources, dates, calculations, and the exact decision you need to make.
Turn an ambiguous request into a clear task with relevant context, checkable constraints, and an output format you can evaluate.
Understand what generative AI creates, how a language model fits into the picture, and how to choose a useful first task without trusting it blindly.
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Use a lightweight Goal–Inputs–Boundaries–Output framework to organize multi-part AI tasks and make missing information visible before drafting.
Reduce unnecessary data sharing by classifying inputs, redacting identifiers, checking product controls, and choosing a safer way to complete the task.
Separate file compatibility, upload limits, service incidents, and network failures before retrying a ChatGPT attachment or sharing diagnostic information.
Separate stable instructions from changing inputs, define required fields, and check a prompt template against ordinary, sparse, and conflicting examples.
Draft a useful email from approved facts, preserve commitments, and review tone, placeholders, and recipients before sending anything.