Original Summary

The biggest improvement in my AI workflow came from treating it less like a chatbot and more like a junior operator with a clear handoff. A practical loop: Define the outcome: specify the finished deliverable, audience, constraints, and deadline. Provide context: include examples, source material, and what “good” looks like. Delegate one bounded task: research, outline, draft, compare, or quality-check—not all five at once. Add a checkpoint: ask for assumptions, missing inputs, and a proposed plan before execution. Review with a rubric: score accuracy, usefulness, tone, and completeness; then save the improved instructions for reuse. I’ve been exploring https://www.aiosnow.com as a way to organize these repeatable workflows and agent handoffs around actual deliverables rather than isolated prompts. The key lesson: prompts are disposable, but a workflow that captures context, checkpoints, and review criteria becomes a reusable asset. What part of your work have you successfully turned into a repeatable AI-assisted workflow?   submitted by   /u/Otherwise_Wave9374 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/19 02:27:58