For me Agent is essentially a decision making machine. I had many iterations on the software around building agents and Flow is the culmination of all of the learnings.

For some reason some LLM specific examples just slipped of my mind because I really wanted to show the barebone nature of this engine and how powerful it is despite its simplicity.

But you also right, it's general enough that you can build any task based system or rebuild complex system with task architecture with Flow.

Signal is clear, add more agent specific examples.