{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d78c46fe8b2d4f2899bcb70a22d2ae96\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d78c46fe8b2d4f2899bcb70a22d2ae96-257ff9fc882957e1.gif","duration":199.303,"title":"Monitoring and Replacing Hallucinating AI Agents","description":"This Loom demonstrates an AI engine that documents and monitors multiple agents in a workflow, including hallucination detection and agent replacement. It describes Layer 1 generating an MD file log of each agent’s actions, tracked files, prompts, models, and hallucination checking, while Layer 2 prompts the user to swap or spin up a different agent when hallucinations are found. In the demo, the system splits the work for a prompt to create a simple HTML and CSS flowers website, spins up multiple Codesmith agents, and shows agent logs and a prompt graph. It also simulates a hallucination where Codesmith is replaced with Mood Maven to continue the work, with further switching to Cynthia, and reviews the generated HTML and CSS in various workspace runs."}