Description

But it works on my machine.”” For AI developers, this isn’t just an excuse; it’s the siren song of the “”Prototype Trap,”” where agents that perform perfectly in development fail unpredictably in the real world. This gap between a functioning prototype and a reliable product is the single biggest barrier to shipping production-grade AI. This session provides a definitive escape route. We introduce Agno, a full-stack framework designed to bridge this gap by unifying the entire agent lifecycle: building, testing, and evaluation. We’ll demonstrate how to systematically dismantle the challenges of non-determinism, environmental dependencies, and validating complex reasoning. You will learn how to build agents for reliability, create evaluation suites that scrutinize reasoning and decision-making, and use Agno’s integrated tooling to benchmark performance and ensure your agent behaves as expected, everywhere. Join this session to get a practical roadmap for building agents that don’t just work on your machine—they work in production. It’s time to escape the prototype trap and start shipping AI with confidence.”