AI Interfaces
Batch Prompt Matrix
A cross-dataset comparison matrix for selecting prompt versions from batch evaluation results.
Installation
Copy and paste the code into your project.
Accessibility notes
The grid preserves readable dataset and version labels, with every evaluation score presented as text.
Batch evaluation
Prompt version matrix
270 test cases · accuracy weighted by dataset priority
Preview accent
const rows = [{ dataset: "Support", scores: [88, 94, 91] }, { dataset: "Sales", scores: [82, 89, 93] }, { dataset: "Policy", scores: [96, 95, 92] }];
export function BatchPromptMatrix() {
return <section className="w-full max-w-md rounded-xl border border-white/12 bg-[#0b0f14]/92 p-4"><h3 className="text-base font-bold text-white">Prompt version matrix</h3><div className="mt-4">{rows.map((row) => <div key={row.dataset} className="grid grid-cols-4 border-t border-white/8 py-3"><span>{row.dataset}</span>{row.scores.map((score, index) => <span key={index}>{score}%</span>)}</div>)}</div></section>;
}<BatchPromptMatrix />Related components
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Evaluation history
Regression timeline
- 94v21
- 92v22
- 81v23
- 89v24
Regression begins at v23
Correlated with the retriever change; 13 failing cases remain.
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