Module 3 of 4Lesson 4 of 6~8 min
Choose the right tool for the deliverable
There is no best AI tool in absolute terms, only tools that fit a deliverable more or less well. This lesson helps you choose the right one by taking into account the kind of result, the data involved, the cost and how well it fits into the way you already work.
Lesson objective
By the end of this lesson, you will be able to choose the right tool for a deliverable and justify the choice on four criteria: type of deliverable, data involved, cost and licensing, integration.
Topics covered
- choosing an AI tool
- ChatGPT, Claude, Gemini
- licensing
- cost
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
- Choose the task to hand over and frame the deliverable
- The five-step method, end to end
- Describe a complete request
- Choose the right tool for the deliverable (this lesson)
- Check the result and improve it
- Workshop: apply the method to your case
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