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Module
Module 2 of 4Lesson 1 of 5~12 min

Choosing what to hand over to AI

Knowing which product tasks to hand to AI, and in what form, heads off many disappointments before you write a single prompt. This lesson helps you split the work between you and the tool across the product lifecycle, and keep control of the decisions that affect your team, your customers and the roadmap.

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

Lesson objective

By the end of this lesson, you will be able to classify a task from your product cycle by the right delegation mode (automation, augmentation, agent, or no AI) and justify what stays under your responsibility.

Topics covered

  • delegating to AI
  • AI delegation modes
  • AI Fluency 4D framework
  • AI across the product lifecycle
  • prompting for PMs

Where it fits

Delegate, describe, verify

How do you get a reliable result from generative AI, and know when not to trust it?

Lessons in this module

  1. Choosing what to hand over to AI (this lesson)
  2. Understanding what an LLM does when you prompt it
  3. Describing the task in a structured prompt
  4. Four techniques that change the result
  5. Checking and iterating with discernment

What you will learn in this module

This lesson is part of the course Prompting for Product Managers: delegate, describe, verify

  • Decide, for a task in your product cycle, whether to hand it to AI, in which mode (automation, augmentation, agent), and what you keep.
  • Explain how an LLM behaves (prediction, dated knowledge, working memory, instruction following) to anticipate its mistakes and pick the right fix.
  • Write a prompt that describes the deliverable, the process and the quality bar, with context, delimited data and examples when needed.
  • Evaluate an AI output (content, process, behavior) against explicit criteria, then improve it through targeted iterations.

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