Build a DVR for AI Agents: Episode Replay UI That Actually Works

Build a DVR for AI Agents: Episode Replay UI That Actually Works Your autonomous agent just spent 47 minutes and $23.50 failing to book a dinner reservation, and all you have is a chat log that says "task completed successfully." The Problem: Agent Debugging is Archaeology Without Artifacts Here's what happens when your AI agent breaks in production: you get a support ticket that says "the AI is acting weird" with zero context about what "weird" means. Was it the prompt? The tool selection? The memory retrieval? The moon phase? Current debugging approaches are embarrassingly primitive: Log spelunking : Grepping through thousands of lines hoping to spot the moment everything went sideways Vibes-based debugging : Staring at the final output and reverse-engineering what might have gone wrong The nuclear option : Adding more logging and hoping the agent fails again What developers actually need is a DVR for AI agents — the ability to scrub through an episode timeline, see exactly what the