AI for Product Managers
Use AI to do the slow parts of product management faster — research synthesis, PRDs, prototypes, and data — and make sharper decisions about when to build AI into your product. Honest about the limits.
AI has quietly become part of the daily product management toolkit. By 2026, PMs routinely use it to cluster hundreds of interview notes and support tickets into themes, draft PRDs and user stories, run competitive and market analysis, query product data in plain language, prototype an idea before writing a line of engineering code, and turn a messy release into clean stakeholder comms. Used well, it gives back hours a week. Used badly, it produces confident nonsense that a busy PM ships without checking.
This is a practical, senior-level course for working product managers of mixed technical background. It covers both halves of the modern PM-and-AI relationship: using AI to do your job faster, and deciding when and how to build AI into the products you own. You will learn durable workflows rather than a tool tour — where AI genuinely helps in discovery, delivery, and communication, and where your judgment is still the whole job. On the build side, you will learn to tell when AI is the right solution versus when a rule or a better UX wins, and how to spec an AI feature with negative acceptance criteria, an eval plan, and controls for hallucination, privacy, and cost. Tools and prices change fast, so where specific products are named, treat the details as of 2026 and verify current capabilities yourself. Module 1 is free.
What you'll be able to do
- Use AI to accelerate the assembly-heavy parts of PM work — research synthesis, competitive analysis, drafting, and reporting — while keeping the judgment and decisions yours
- Turn raw interview notes, survey responses, and support tickets into themes you can act on, and query product data in plain language without writing SQL
- Draft PRDs, user stories, and stakeholder updates in a fraction of the time, then edit them to a senior standard
- Prototype an idea with AI and no-code tools to test a hypothesis before committing engineering time
- Decide when AI is and is not the right solution for a feature, and spec it with negative acceptance criteria, an eval plan, and controls for hallucination, privacy, and cost
Curriculum
Module 1: The AI-Assisted PM Mindset
FreeWhat AI changes about the PM job and what it does not, the two distinct jobs (using AI vs building AI), keeping a human in the loop, and building a repeatable workflow instead of chasing tools.
Module 2: AI for Discovery and Analysis
PremiumThe discovery-side workflows: synthesizing user research from interviews, surveys, and tickets; competitive and market analysis; querying product data in plain language; and using AI as a prioritization thinking partner.
- Synthesizing user research at speed12 min
- Competitive and market analysis12 min
- Analyzing product data without SQL12 min
- AI as a prioritization thinking partner11 min
Module 3: AI for Delivery and Communication
PremiumThe delivery-side workflows: drafting PRDs, specs, and user stories; prototyping with AI to test an idea before building; and using AI for stakeholder communication and release notes.
- Drafting PRDs, specs, and user stories12 min
- Prototyping to test an idea before you build12 min
- Stakeholder communication and release notes11 min
Module 4: Building AI Into Your Product
PremiumThe product-decision side: when AI is and is not the right solution, how to spec an AI feature with negative acceptance criteria and risk controls for hallucination, privacy, and cost, and how to use evals to ship responsibly.
- When AI is (and is not) the right solution12 min
- Specifying an AI feature: risk, UX, privacy, and cost13 min
- Evals and shipping responsibly13 min
Get the full course — one-time $29.
Start Module 1 free today. Buy once for lifetime access to the remaining 3 modules — no subscription.
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