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.
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
What you will learn in the course
This lesson is part of the course Put AI to work in your business
- Explain, on a concrete case, why an AI assistant makes things up, forgets or misses recent information, and decide how to use it accordingly.
- Sort data before giving it to an AI tool (allowed, anonymize first, forbidden) and configure the tool to match.
- 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.
- Turn a successful use into a reusable workflow with human checkpoints, and set the team's rules of use in an AI policy.
Related courses
- Understand what LLMs do well, and where they failAll levels · ~2 hr
- Choosing and using AI tools at workAll levels · ~1 hr 40 min
- Prompting for product managers: delegate, describe, verifyJunior · ~2 hr 45 min