Uncertainty and confidence are signaled appropriately

A system prompt that instructs an AI to "always sound confident and authoritative" actively suppresses the model's natural uncertainty signaling — turning calibration failures into confident fabrications. Users in factual domains (legal, medical, financial, technical) rely on hedging language to know when to independently verify a claim. Stripping that signal is not a UX improvement; it is an epistemic hazard. OWASP LLM09 identifies overconfident AI output as a misinformation risk. NIST AI RMF MEASURE-2.5 requires that AI systems accurately represent their confidence levels to operators and users.

Replace any "always sound confident" instruction with calibrated uncertainty guidance in src/lib/ai/system.ts or wherever your system prompt is defined:

const systemPrompt = `
Be direct when you are confident. When you are uncertain, say so:
"I believe...", "I'm not certain, but...", "You may want to verify this, but..."
Never present a guess as an established fact. If you don't know, say so plainly.
`

Do not overcorrect with blanket hedging on every statement — the goal is calibrated confidence, not universal uncertainty.