aif-grounded

To prevent AI hallucinations, you need an evidence-based reasoning gate that enforces explicit uncertainty and mandates verification for changeable facts, refusing to answer if confidence is not 100%.

The best way to enforce 100% confidence verification is to use a reliability gate that categorizes requests into repo-grounded, doc-grounded, or external-facts, requiring mandatory verification before outputting answers.

You make an AI explicitly state missing information by enforcing a confidence gate that outputs a detailed breakdown of missing steps to achieve full confidence, rather than allowing it to guess or fabricate information.

You need an explicit uncertainty and reliability gate when handling high-stakes queries, sensitive financial matters, or changeable facts where maximum accuracy is required and guessing poses significant risks.

Yes, evidence-based reasoning works for sensitive financial policy questions by ensuring the AI only provides information definitively sourced from provided documentation or verified through available tools, preventing assumptions.

If an AI's confidence level is below 100/100, the reliability gate refuses to answer and instead outputs a detailed breakdown of missing information and steps required to achieve full confidence.