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

Specialized tools

For a slide deck, a voice, an image or a small app, a specialized tool often does better than a general-purpose assistant. This lesson helps you identify the right tool for a deliverable and check its terms of use before adopting it, from quotas to commercial use.

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

Lesson objective

By the end of this lesson, you will be able to identify the specialized tool suited to a deliverable (application, presentation, voice, image, code) and check its terms of use before adopting it (quotas, watermark, commercial use).

Topics covered

  • specialized AI tools
  • image generation
  • AI presentations
  • terms of use

Where it fits

Choosing the right tool and way of working

Which tool, and which way of using it, for which need?

Lessons in this module

  1. General-purpose assistants
  2. Conversation, project, research, agent: choosing the mode
  3. Specialized tools (this lesson)
  4. The tool selection grid

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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