Multi-agent AI systems are distributed systems, but many still pass data through prompts. This loses information, wastes tokens, and makes failures hard to manage. This talk presents a shared data bus where agents exchange a database ID. Using a real three-agent pipeline, I’ll cover retries, conflicting writes, access control, monitoring, and cleanup. I will also provide a guide for choosing between prompts, queues, files, and databases.
Eddie Tejeda is co-founder and CTO of Hotdata.dev , which helps AI agents create databases in milliseconds. He is a two-time founder and previously led engineering at Mode Analytics and ThoughtSpot.
