How to Build AI Agents That Check Their Own Work | Jared Zoneraich
About this episode
Jared Zoneraich discusses the development of AI agents that can self-check their work and the importance of simplicity in their design.
Jared is a Builder in Residence at Cognition, the team behind Devin. He showed me why teams often overbuild their first agents, and how simple prompts, better tools, and self-testing work together instead. Then he demoed one manager agent breaking down a task, directing 10 cloud agents, and deciding what a human needs to review. Jared and I talked about: (00:00) Why teams overbuild their first AI agent (02:50) Let the model cook before adding rules (03:16) Why tools matter more than better prompts (10:51) Why you should build evals after shipping (16:06) What cloud agents can do that local agents can’t (20:30) How to get one agent to manage other agents (25:39) Demo: One agent launches a team of 10 (28:03) How agents prove their work before you review it (33:18) The best tasks for agent teams to work on Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video https://creators.riverside.com/PeterYang Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft Wispr Flow: 4x faster than typing with your voice https://ref.wisprflow.ai/peteryang 📌 Get the takeaways…
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