Module 4 of 5Lesson 1 of 4~12 min
General-purpose assistants
ChatGPT, Claude, Gemini, Perplexity or Mistral Le Chat: general-purpose assistants look alike, but not on every point. This lesson helps you choose between them based on your need, from writing to sourced research, and spot the terms that rule some of them out for your data.
Lesson objective
By the end of this lesson, you will be able to choose a general-purpose assistant based on your needs (writing, sourced research, ecosystem, privacy) and spot the terms that rule it out for certain data.
Topics covered
- ChatGPT
- Claude
- Gemini
- Mistral Le Chat
- AI assistant comparison
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
- General-purpose assistants (this lesson)
- Conversation, project, research, agent: choosing the mode
- Specialized tools
- The tool selection grid
What you will learn in this module
This lesson is part of the course Choosing and using AI tools at work
- Identify a tool's limits (fabrications, sources, freshness, data privacy) and the precautions to take before using it.
- 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.
Related courses
- AI & ProductivityAdvancedRegular practice: you already use the tools or work on this topic.
Build reliable Claude Skills for your product work
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- AI & FundamentalsJuniorSome basics are useful: introductory knowledge of the topic.
Prompting for Product Managers: delegate, describe, verify
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- AI & FundamentalsAll levelsNo prerequisites: accessible to everyone.
Understand what LLMs do well, and where they fail
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