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Module
Module 4 of 4Lesson 1 of 4~10 min

Turn a good result into a reusable workflow

A request that worked well once deserves to be kept and shared. This lesson shows you how to save it durably in your tool, then document it as a workflow with the points where a person needs to check the result. Your team can then reuse it without starting from scratch.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this lesson, you will be able to save a proven request as standing context (project, instructions, shared template) and document it as a workflow with its human checkpoints.

Topics covered

  • AI workflow
  • ChatGPT and Claude projects
  • custom instructions
  • knowledge capture

Where it fits

Capture it and share it with the team

How do I turn a good result into a reusable, shared method without losing control?

Lessons in this module

  1. Turn a good result into a reusable workflow (this lesson)
  2. Move to an online deliverable without mistaking a prototype for a product
  3. Write your team's AI policy
  4. Your 30-day plan and resources

What you will learn in this module

This lesson is part of the course Put AI to work in your business

  • Sort data before giving it to an AI tool (allowed, anonymize first, forbidden) and configure the tool to match.
  • Pick the right tool for a deliverable and justify the choice on data, cost, licensing and integration.
  • Turn a successful use into a reusable workflow with human checkpoints, and set the team's rules of use in an AI policy.

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