Optimize your LLM-apps with 1-Click 🚀 ✨ The Optimization Studio ✨ empowers AI teams to ship 10x faster while guaranteeing performance: - Find the best prompts/models with DSPy optimizers - Effortlessly monitor quality, track results, and experiment - Build custom evals yourself and bring them back to real-time monitoring
How do you validate an AI agent that could reply in unpredictable ways?
My team and I have released Agentic Flow Testing an open-source framework where one AI agent autonomously tests another through natural language conversations.
Every day I speak with AI teams building with LLM-powered applications and something is changing.
I see a new role is quietly forming:
The AI Quality lead as the quality owner.
