But here's what nobody tells you,
Most people calling their workflows 'AI Agents' are just using prompt chains with IF nodes.
A real agent: receives a goal → breaks it into steps → picks tools → executes → evaluates its own output → iterates.
That's a fundamentally different architecture.
Before you build one, ask yourself: does my workflow actually need an agent, or just a well-structured automation?
Most of the time, the simpler solution wins.