Agents in 60 lines of python : Part 8

The article explains how AI agents plan their own work through self-scheduling using a simple tool called schedule_followup that pushes tasks onto a queue. Two loops drive the system: an inner loop runs the agent's LLM and tools, while an outer loop acts as a scheduler pulling tasks and enforcing a budget. This pattern mirrors production frameworks like CrewAI, AutoGen, and LangGraph, where agents control their own task lists.