You should definitely read the whole thing, but tl;dr

  - Generate a stable sequence of steps (a plan), then carry it out. Prevents malicious or unintended tool actions from altering the strategy mid-execution and improves reliability on complex tasks.
  - Provide a clear goal and toolset. Let the agent determine the orchestration. Increases flexibility and scalability of autonomous workflows.
  - Have the agent generate, self-critique, and refine results until a quality threshold is met.
  - Provide mechanisms to interrupt and redirect the agent’s process before wasted effort or errors escalate. Effective systems blend agent autonomy with human oversight. Agents should signal confidence and make reasoning visible; humans should intervene or hand off control fluidly.

If you've ever heard of "continuous improvement", now is the time to learn how that works, and hook that into your AI agents.