Prompt and Circumstance
OpenClaw can move product monitoring from simple error alerts toward self-healing agent workflows. Ilan explains the progression and patterns to use to go from “agent notices an error and tells you,” to “agent diagnoses and recommends a fix,” to a guarded autonomous flow where agents clone, patch, test, and eventually promote fixes into production. The big idea: close the loop only as far as you trust the system, and optimize for the customer never feeling the bug. Chapters 00:00 - Why Closing the Loop Matters for AI Agents 03:00 - The Recommended Fix Flow: AI Diagnoses, Human Implements 04:00 - The Current State: Two-Model Monitoring with Human Approval 07:02 - The Fully Autonomous Flow: Clone, Test, Deploy 07:56 - Proof of Fix and What Comes Next Links OpenClaw - https://openclaw.ai n8n - https://n8n.io Click here to watch a video of this episode. [https://www.youtube.com/watch?v=7oZ0r_5Db0Q] Find Us YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast Instagram - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast
48 afleveringen
Reacties
0Wees de eerste die een reactie plaatst
Meld je nu aan en word lid van de Prompt and Circumstance community!