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Module
Module 3 of 4Lesson 5 of 6~10 min

Check the result and improve it

Text produced by AI can look right and still contain errors. This lesson gives you a simple method to check an output before you use it, then to improve it through precise feedback rather than starting from scratch every time, keeping track of what each round changed.

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

Lesson objective

By the end of this lesson, you will be able to check AI output against a five-point checklist and improve it with precise feedback, over at least two documented iterations.

Topics covered

  • checking AI output
  • iteration
  • quality
  • review

Where it fits

The five-step method

How do I get from a real need to a useful deliverable, in a way I can repeat?

Lessons in this module

  1. Choose the task to hand over and frame the deliverable
  2. The five-step method, end to end
  3. Describe a complete request
  4. Choose the right tool for the deliverable
  5. Check the result and improve it (this lesson)
  6. Workshop: apply the method to your case

What you will learn in this module

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

  • Choose which tasks to hand to AI and how to work with it (automate, assist, delegate) based on value, risk and the data involved.
  • Write a complete request (task, context, examples, format, constraints) and improve it over at least two documented iterations.
  • Pick the right tool for a deliverable and justify the choice on data, cost, licensing and integration.
  • Check AI output against an explicit checklist (facts, figures, sources, tone, compliance) before using it.

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