Chat interfaces are everywhere, but what challenges are there to overcome to create a truly joyful user experience? In this talk, we’ll explore the key problems and solutions across the entire stack: from the tools you can give your agent to better respond to real human behaviour, to the underlying infrastructure and optimisations required to handle client disconnects, cancellations, and multi-device usage gracefully.

Multi-agent AI frameworks are everywhere right now — OpenAI Swarm, CrewAI, Langflow — but most of them are built Python-first. Meanwhile, a huge chunk of AI startups (60–70% in YC, by some counts) are building in TypeScript. And honestly, spinning up a whole Python backend just to leverage some of these frameworks didn’t feel worth it.

In this talk, we’ll walk through how we approached building a multi-agent AI system in TypeScript — by focusing on the core principles behind these frameworks and building something similar that fits the JS stack.

Multi-agent AI frameworks are everywhere right now—OpenAI Swarm, CrewAI, Langflow—but most of them are built Python-first. Meanwhile, a huge chunk of AI startups (60–70% in YC, by some counts) are building in TypeScript. And honestly, spinning up a whole Python backend just to leverage some of these frameworks didn’t feel worth it.

In this talk, I’ll walk through how we approached building a multi-agent AI system in TypeScript—by focusing on the core principles behind these frameworks and building something similar that fits the JS stack.