Module 2 of 6Lesson 1 of 3~10 min
Identify a use case worth an assistant
Many AI assistants disappoint because they tackle a problem that a good FAQ or a guided flow would have solved better. This lesson helps you spot the user problems where an assistant brings real value, and justify that choice to your team before committing to any development.
Lesson objective
By the end of this lesson, you will be able to identify, among several user problems, the ones an AI assistant solves better than an FAQ, a search box or a guided flow, and to justify that choice.
Topics covered
- AI use case
- AI assistant
- product value
- chatbot vs FAQ
- AI prioritization
Where it fits
Frame the assistant
Does my product need an assistant, and to do what exactly?
Lessons in this module
- Identify a use case worth an assistant (this lesson)
- Write the framing brief
- Understand the anatomy of an LLM assistant
What you will learn in this module
This lesson is part of the course Build an AI assistant for your product
- Identify a use case that justifies an AI assistant and write its framing brief (problem, users, allowed actions, out of scope, success criteria).
- Choose and justify a knowledge strategy (instructions, injected context, RAG, fine-tuning) and a conversation memory strategy.
Related courses
- AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.
Design a RAG architecture that fits your product
3 hr 30 min
- AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.
Evaluate an AI feature: test sets, metrics and LLM judges
3 hr
- AI & ProductExpertAdvanced level: for deeper mastery and specialization.
Ship and monitor an AI feature in production
3 hr