AI Agents That Learn from Their Mistakes | The Warp Case

Can AI agents learn from human feedback? Discover how Warp turns errors and corrections into controlled, auditable, and reversible improvements.

We analyze Warp’s two-layer system: one agent executes tasks, while another observes feedback, proposes small changes to its instructions, and submits them for human review. We explore its applications in code review, incident triage, and specifications, as well as the risks of automating without evaluation or governance.

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🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.

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