Building end-to-end agentic systems for product managers

Learning how to approach building end-to-end agentic systems is crucial for AI product managers interviewing at top companies. This lesson breaks down the framework for shipping AI that finishes a complete job. Unlike a basic chatbot, a true agent executes multi-step workflows. We use a movie production metaphor to explain how a director AI delegates tasks to specialized scout, camera, and editor agents. However, real deployments face unique failure points. If an agent hits a broken link, the system freezes without proper error handling. You must design robust retry loops and fallback mechanisms. We analyze a search agent that queries databases to show how handoffs work. Top companies hire PMs who anticipate crashes and map every tool interaction. In this lesson: - Chatbots versus true agentic workflows - Mapping handoffs between a director AI and sub-agents - Designing retry loops for when external tools fail - Why error handling is critical for shipping AI agents U2xAI Academy - AI skills for product managers.