Original Summary

The biggest upgrade in using AI wasn’t finding better prompts. It was treating AI like a small team with clear roles, inputs, and acceptance criteria. Here’s a lightweight system that works for recurring knowledge work: Define the outcome. Write one sentence describing the finished deliverable, not the activity. Split the job into roles. For example: researcher, planner, drafter, critic, and formatter. Give each role only the context it needs. Create a handoff format. Require every role to return the same structure: completed work, assumptions, open questions, and next action. Add quality gates. Before advancing, check factual support, missing constraints, duplicated work, and whether the output meets the original definition of done. Save the workflow, not just the answer. Reusable instructions and review criteria compound; isolated chat transcripts usually don’t. I’m building https://www.aiosnow.com around this personal operating system approach: delegating structured workflows to AI while keeping human judgment at the checkpoints. What recurring task would you most like to turn into a reliable AI workflow?   submitted by   /u/Otherwise_Wave9374 [link]   [comments]

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/3 02:33:00