Self-Improving AI Agents: Turn Repeated Reasoning Into Tools the Agent Writes Itself

A static AI agent re-reasons the same kind of task from scratch every time, burning tokens and sometimes getting it wrong differently on each run. A self-improving agent solves it once, writes a small verified tool, and reuses that tool exactly from then on. The catch worth knowing up front: writing the tool costs more tokens than one-off reasoning. The payoff is correctness and reuse, not a smaller bill.