AI is very good at making your preferred answer sound organized. That is useful for drafting and dangerous for decisions. When money, customers, staff, systems or public claims are involved, the model should not be asked to confirm the idea. It should expose the evidence, assumptions, opposition and failure modes before a person approves anything.<\/p>\n
For these decisions, ask the model for a decision review: a packet that lets the owner see what is known, what is inferred and what remains unproven.<\/p>\n
Many prompts contain the recommendation inside the question: Why is this campaign a good idea? Help me justify this hire. Improve this plan. The model follows the frame and returns a cleaner version of the user’s preference.<\/p>\n
The controls on a decision are traceable evidence, visible assumptions and an accountable owner. How confident the answer sounds is not one of them.<\/em><\/p>\n Use decision mode when the output could trigger spend, customer communication, hiring, pricing, technical change, sensitive claims or an action that is difficult to reverse.<\/p>\n DECISION TO REVIEW<\/strong> APPROVED INPUTS<\/strong> RULES<\/strong> RETURN<\/strong> A team wants to double spend because lead volume is rising. Draft mode can produce a persuasive budget note. Decision mode checks lead quality, sales acceptance, conversion, response capacity and the landing-page path. It also defines the result that would trigger a rollback.<\/p>\n The recommendation may still be to increase spend, but now it comes with conditions, evidence and an owner.<\/p>\n If three or more checks fail, do not approve from the AI output. Repair the inputs, narrow the decision or bring in the accountable domain owner.<\/p>\n Use AI to improve the quality of judgment, and do not count a more confident presentation as an improvement. Prefer a model that questions how the request was framed and stops at the approval boundary over one that agrees with you in polished prose.<\/p>\n Before you bolt on another tool, it is worth knowing whether your business runs on systems or on you. I put together a free 2-minute assessment that gives you a straight read on exactly that, and the first thing to fix. Take the free assessment<\/a>.<\/p>\nThree modes of AI assistance<\/h2>\n
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The evidence-led decision review<\/h2>\n
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Truth Mode prompt<\/h2>\n
\n[State the exact decision.]<\/p>\n
\n[List the documents, data, notes, code and constraints.]<\/p>\n
\n– Do not flatter the preferred answer.
\n– Separate facts, interpretations and assumptions.
\n– Label unsupported claims.
\n– Trace material claims to supplied inputs.
\n– Do not invent metrics, commitments or guarantees.<\/p>\n
\n1. Evidence ledger
\n2. Assumption register
\n3. Strongest case against the recommendation
\n4. Failure modes
\n5. Decision memo with confidence level
\n6. Exact human approval question<\/p>\nWorked example: increasing ad spend<\/h2>\n
Approval gate<\/h2>\n
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The operating rule<\/h2>\n