5 Lessons from Running Autonomous AI Agents 24/7

The author shares early lessons from operating a multi-agent AI system 24/7, emphasizing the critical need for robust self-healing mechanisms like retry logic and dead-letter queues. Initial deployments without these features led to silent failures and recursive loops, highlighting the importance of building reliability into the architecture from the start.