AI Interfaces
Confidence Escalation Panel
A decision boundary that converts uncertainty signals into request-context or human-review actions.
Installation
Copy and paste the code into your project.
Accessibility notes
Every signal has an exact text value and the escalation cause is stated explicitly rather than encoded by color.
Decision boundary
Review before answering
- Source agreement
- 84%
- Policy clarity
- 62%
- Answer stability
- 71%
Escalation triggered
Policy clarity is below the 70% automatic-answer threshold.
Preview accent
const signals = [{ label: "Source agreement", value: 84 }, { label: "Policy clarity", value: 62 }, { label: "Answer stability", value: 71 }];
export function ConfidenceEscalationPanel() {
return <section className="w-full max-w-sm rounded-xl border border-white/12 bg-[#0b0f14]/92 p-4 shadow-2xl">
<header><p className="text-xs font-semibold uppercase tracking-[0.18em] text-[#fb923c]">Decision boundary</p><h3 className="mt-1 text-base font-bold text-white">Review before answering</h3></header>
<dl className="mt-4 space-y-3">{signals.map((signal) => <div key={signal.label}><div className="flex justify-between text-[0.65rem]"><dt>{signal.label}</dt><dd>{signal.value}%</dd></div><div className="mt-1.5 h-1.5 rounded-full bg-white/[0.06]"><span className="block h-full rounded-full bg-[#fb923c]" style={{ width: signal.value + "%" }} /></div></div>)}</dl>
<div className="mt-4 rounded-lg border border-[#fb923c]/20 bg-[#fb923c]/[0.06] p-3"><p className="text-xs font-semibold text-[#fdba74]">Escalation triggered</p><p className="mt-1 text-[0.65rem] text-slate-400">Policy clarity is below the 70% automatic-answer threshold.</p></div>
</section>;
}<ConfidenceEscalationPanel />Related components
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