Most LLM outputs fail in production because prompt testing is done by manual eyeballing. The Universal Prompt Evaluation Workbench - a developer tool that quantitatively benchmarks and scores prompts before deployment. Core Features: Multi-Provider Rig: Switch between Google Gemini (gemini-3.8-flash), Groq, and OpenAI with unified dispatch. Inference Controls: Test Temperature, Top-P, and token limits to eliminate output drift in real time. Automated 4-Pillar Judge: Instantly grades responses (0–100 & Letter Grade) on Format, Grounding, Completeness, and Latency. Math Checksums: Deterministic math verification for structured receipt and invoice data. Watch the 90-second demo to see it catch a failing prompt (Grade F) and validate an optimized, schema-enforced prompt (Grade A — 98/100). 🌐 Live Working Tool: https://lnkd.in/dwwQDk_2 🔗 GitHub Repo: https://lnkd.in/d-tY4ri3 #AI #PromptEngineering #LLMOps #Python #FastAPI #Groq #GoogleGemini