Uploaded July 2026 | Updated September 2026, 2 weeks ago
🎙️ How do you stop AI agents from making mistakes in production?
On the Future of Data and AI Podcast, João Moura, Creator of CrewAI, breaks down the full spectrum of options — from simple code checks that catch bad outputs, to using one AI model to judge another, to training agents with enough examples of "good" that they can check their own work before delivering it. No single method works 100% of the time. But in production, a mix of two or three of these gets you to 99.99% reliability.
The key is layering: guardrails, tracing, and blocks that stop bad outputs from ever going out
🎧 Watch the full episode: youtu.be/DGGLhUt42LM?si=vGYSEBxCadhNw8Oe
🔗 View all podcasts: datasciencedojo.com/podcast
🎙️ How do you stop AI agents from making mistakes in production?
On the Future of Data and AI Podcast, João Moura, Creator of CrewAI, breaks down the full spectrum of options — from simple code checks that catch bad outputs, to using one AI model to judge another, to training agents with enough examples of "good" that they can check their own work before delivering it. No single method works 100% of the time. But in production, a mix of two or three of these gets you to 99.99% reliability.
The key is layering: guardrails, tracing, and blocks that stop bad outputs from ever going out
🎧 Watch the full episode: youtu.be/DGGLhUt42LM?si=vGYSEBxCadhNw8Oe
🔗 View all podcasts: datasciencedojo.com/podcast
