Build a DVR for Your AI Agent: Episode Replay UI Tutorial

Build a DVR for Your AI Agent: Episode Replay UI Tutorial Your AI agent just crashed in production, and the only evidence is a vague error message and the cold sweat on your forehead. The Problem: AI Agent Debugging Is Still Medieval Your autonomous agent was supposed to book a conference room, send three emails, and update a spreadsheet. Instead, it booked three conference rooms, sent the same email 47 times to your CEO, and deleted half your customer database. The logs show: INFO: Agent completed task successfully ERROR: Database connection lost INFO: Retrying operation INFO: Task completed Helpful. Really. Traditional debugging assumes deterministic code. But AI agents are probabilistic chaos machines with memory problems and an alarming tendency to hallucinate their way through error handling. Standard logging wasn't built for "the LLM decided that 'delete customer' was the same as 'update customer' because both contain the word 'customer.'" You need to see what the agent was think