Building AI Agents That Actually Work in Production: Lessons from Real Projects

This post addresses the critical gap between AI agents working in demos and their reliability in production environments, sharing lessons learned from real-world projects. It defines an agent as a system that plans, executes, and adapts steps using tools to achieve a goal without human approval, highlighting the challenges of ensuring its reliable and continuous operation.