Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate
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Updated
Jan 14, 2026 - Python
Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate
🧬 Stop guessing which LLM prompt works best. ab_explorer evolves prompts via automated genetic A/B testing: it breeds, crosses, and mutates candidates, scores them against your rubric, and selects the fittest across generations. You get a winner balanced for accuracy, cost, and latency — with a beautiful CLI that reports every step with early stop
Supply-chain efficiency analytics in Power BI with SQL and Python integration.
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