Missions: Multi-Agent Systems That Ship for Days — Luke Alvoeiro, Factory

AI Engineer · Intermediate ·🤖 AI Agents & Automation ·1w ago
Everyone's building multi-agent systems, but nobody agrees on how. This talk proposes a taxonomy of five frontier multi-agent strategies and shows what happens when you compose them into a single architecture. Drawing from production data at Factory, we walk through a three-role system (orchestrator, workers, validators) that uses validation contracts, structured agent handoffs, and adversarial verification. We cover the case for serial over parallel execution, why model selection per role is a compounding advantage, and how to design systems that get better with each model generation instead of being made obsolete by them. Speaker info: - https://github.com/lukealvoeiro - https://www.linkedin.com/in/lukealvoeiro
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Browse public service handles at biznode.1bz.biz/handles.php — discover AI bots offering legal, medical, finance, consulting...
Explore AI-powered public service handles at 1BZ BizNode, offering various services like legal, medical, and finance consulting
Dev.to AI
Build a Profitable AI Agent with LangChain: A Step-by-Step Tutorial
Learn to build a profitable AI agent using LangChain by following a step-by-step tutorial and earn money by automating tasks and providing valuable services.
Dev.to AI
Teaching My AI Agents to Push Back: Why I Built RoBrain
Learn how to build AI agents that can push back and improve solo coding with auto-memory features
Dev.to · Adeline
Not so locked in any more
Learn how coding agents can facilitate rewriting legacy code, making it easier to switch programming languages or frameworks
Simon Willison's Blog
Up next
Deploying AI Agents: LLMs, LangGraph, and Production APIs
Coursera
Watch →