Agent Workflows walkthrough

Stop building linear agents that don't adapt! In this video, we'll show you ElevenLabs Agent Workflows - the graph based editor that lets you create sophisticated, branching conversation flows that respond intelligently to user needs. You'll discover: - How to design complex conversation logic graphs - The core node types: Subagents, Tools, Transfers, and End nodes - How to dynamically switch LLM models, voices, and personalities mid-conversation - Adding context-specific knowledge bases and tools at the right moments - Smart routing with LLM-powered edge conditions - Building retry loops and iterative conversation patterns This changes everything about how you think about conversational AI. Instead of one-size-fits-all agents, you can now create adaptive experiences that evolve based on what your users actually need. Perfect for developers building customer support bots, sales agents, or any conversational AI that needs to handle complex, real-world scenarios. This is part 1 of our Agent Workflows series. Next videos will cover advanced routing strategies, real-world workflow examples, and integration patterns. Resources: Documentation: https://elevenlabs.io/docs/agents-platform/customization/workflows Get started with ElevenLabs Agents: elevenlabs.io/app/agents Discord community: discord.gg/elevenlabs