Behind-the-scenes of building and running a multi-agent AI fleet in production. The real stuff — failures, fixes, and everything between.
Voice calls, self-healing watchers, a 7-day silent pipeline outage, and 37 API keys. A practical field report for anyone building with autonomous AI agents.
25 sessions, 3 agents, one week. How we built self-healing infrastructure, shared memory, and autonomous updates — and the biggest lesson: never let an LLM validate your infrastructure.
What 3 months, 89 documented failures, and a 3-agent fleet taught us about AI ops nobody warns you about. From agents overwriting their own instructions to tasks running 11 times in a loop.