Description
Optimize your AI agents by testing prompt performance — automatically and at scale.
Instead of guessing which prompt works better, this smart workflow runs A/B testing on different prompts using Supabase sessions and OpenAI models, helping you measure response quality, consistency, and performance over time.
Whether you're fine-tuning a chatbot or deploying LLMs in production, this workflow lets you experiment like a scientist — without coding or manual tracking.
🔍 How It Works:
✅ Receive a user message via chat (manual or API-triggered)
✅ Supabase checks for an existing test session
✅ If no session exists, it assigns either the baseline or alternative prompt
✅ Based on the prompt path, AI generates a response using OpenAI
✅ Session data and prompt path are logged for future analysis
⚙️ Why Use This AI Prompt Testing Flow?
🧠 Prompt Optimization – Compare different versions head-to-head
⚖️ True A/B Logic – Clean separation of test vs control
📊 Session-Aware Routing – Tracks user path across multiple messages
🗃️ Postgres Memory – Persist responses for deeper evaluation
📈 Measurable Performance – Add your own scoring logic easily
🔄 Model Swap Ready – Swap LLMs for multi-model comparison
👥 Who’s It For?
✔️ Prompt Engineers & LLM Developers
✔️ Chatbot Product Teams
✔️ AI Tool Builders
✔️ Growth & Experimentation Engineers
✔️ Researchers in NLP/LLMs
🔌 Works Seamlessly With:
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OpenAI (response generation)
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Supabase/Postgres (session tracking)
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n8n or LangChain (flow logic)
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Alternative LLMs (Claude, Gemini, etc. via OpenRouter)
💡 Stop guessing which prompt is “best.”
Use this AI-powered testing framework to get real answers with real users — in real-time.
🚀 Try it now — Test smarter. Optimize faster. Deploy better.
Project Link - https://preview--ai-prompt-brew.lovable.app/
