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.
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
- Choosing what to hand over to AI (this lesson)
- Understanding what an LLM does when you prompt it
- Describing the task in a structured prompt
- Four techniques that change the result
- Checking and iterating with discernment
What you will learn in the course
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.
- Produce PM deliverables with AI (feedback synthesis, persona, interview guide, user stories) from real data, and check that they are faithful to it.
- Configure standing instructions and a dedicated assistant for a recurring task, test it on real cases, and decide when to move to an agent.
- Apply diligence rules (shared data, transparency, accountability) before using or circulating work produced with AI.
Related courses
- Build reliable Claude Skills for your product workAdvanced · ~2 hr 30 min
- Choosing and using AI tools at workAll levels · ~1 hr 40 min
- Understand what LLMs do well, and where they failAll levels · ~2 hr