Module 5 of 5Lesson 1 of 1~12 min
Testing and settling your toolkit
The final lesson has you compare two tools on a real task from your work, using criteria written before the trial. You keep the one that fits best and build a short toolkit of trusted tools that you plan to review at regular intervals as the market changes.
Lesson objective
By the end of this lesson, you will be able to compare two tools on a real task with criteria written in advance, keep one of them and put together a short toolkit that you will reassess regularly.
Topics covered
- AI toolkit
- comparing tools
- real-task test
- periodic review
Where it fits
Building your toolkit
How do you go from a catalog of tools to a few tested tools that really help?
Lessons in this module
- Testing and settling your toolkit (this lesson)
What you will learn in the course
This lesson is part of the course Choosing and using AI tools at work
- Explain how a generative AI assistant works and what it does well or badly, so you know what to ask of it.
- Identify a tool's limits (fabrications, sources, freshness, data privacy) and the precautions to take before using it.
- Write a clear request (task, context, data, format, criteria) that produces a usable first result.
- Diagnose why a response falls short and fix it with a targeted clarification.
- Select the right tool for a deliverable using a grid of criteria (deliverable, data, sources, cost, language, integration) and justify the choice.
- Choose the right way of working for a task (conversation, project, deep research, agent) and the level of control that goes with it.
- Build your toolkit by comparing at least two tools on a real task with criteria written in advance.
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