JustAnotherPM | Sid

Most PMs ask: "How do we add AI to this?" The right question is: "Should we?" The 5-Check Framework helps you decide: 1. Is there a real problem? 2. Is this a problem AI can solve well 3. Do you have the data? 4. Is it okay if your product makes mistakes? 5. Will adding AI 10x the user experience? If you fail any check, reconsider adding AI to the product.

This is the core framework I teach in Week 1 of the AI PM Accelerator. Every other week builds on it. Cohort 2 starts in April. 40 spots. newsletter.justanotherpm.com/ai-pm-accelera…

Before you build any AI product, answer these 7 questions: 1. What problem are we solving? 2. Why does this need AI? 3. What data do we need? 4. How will we measure quality? 5. What happens when AI is wrong? 6. How do users give feedback? 7. What does v1 actually look like? Every AI product decision maps back to one of these.

Everyone says "learn AI product management." Nobody tells you where to start. So I built a free 6-day email course that does exactly that. One email a day. 5 minutes. No code required. Here's what's inside 👇

We're opening entry to our closed door community of product managers, leaders, data scientists, SWEs who are working on core AI Products. If you want to be a part, please reply AI, I'll DM you. P.S. Please connect with me @JustAnotherPM so I can DM you. P.P.S We are limiting entry to people who are already working with AI/building AI products and have at least 4 years of work experience.

Biggest lesson from running Cohort 1 of the AI PM Accelerator: The PMs who shipped the best products spent 70% of their time planning and 30% coding. Cohort 2 is built entirely around Claude Code. Same 70/30 split. Way more powerful output.

Day 3 of my free AI PM course teaches you this framework in full. It’s the tool you’ll actually use at work. newsletter.justanotherpm.com/ai-product-man…

You don’t need to learn to code to be a great AI PM. But you do need to understand: • LLMs — what they can and can’t do • RAG — how AI gets access to your data • Embeddings — why semantic search works • Prompting — how to get reliable outputs These 4 concepts unlock everything else.

Your PM mental models will mislead you when building AI products. Stakeholders, prioritization, roadmaps — all this still matters. But AI adds a layer most PMs aren’t trained for: AI adds a layer of uncertainty. Your product doesn’t always behave the same way (even if the user's input is the same) Working with this unpredictability requires a different mental model.

You won't lose your job to AI. You'll lose it to the PM who has shipped multiple AI product with consistently high quality, while you were still watching videos about prompt engineering. Most PMs are stuck in the world of "traditional" product management. They are comfortable as long as the product works in a fixed pattern: "If X, then Y." But here's the truth, AI PMs have moved on. They understand how AI works. They've built AI products. They know how to work with AI's unpredictability. The good news is .... that you can also become an AI PM, without an actual AI PM job. All you need is a structured approach and a good starting point. Here is how I would learn how to build AI Products all over again → Find the right problem → Ensure that AI is the right solution → Have a data strategy → Scope the thinnest MVP slice → Validate user-AI fit → Define quality → Build, evaluate, ship, iterate I'm not making this up. I've built 5 AI products using this approach. I have helped 40 PMs in the AI PM Acclerator to build usable, fully functional AI products in just 8 weeks. If we can do it, you can too. Now we're going to do it again in cohort 2. We will use this exact AI stack to build and launch world-class AI products. So if you want to build on your own, do this: • Follow the above approach • Use the below stack as a starting point • Keep building till you create something launch ready If you want to build alongside others like you, then join the cohort 2. (More details on the link below)

Here's what 40 PMs with zero coding experience shipped in 8 weeks: • Room redesign AI from photos • Sari recommendation engine • AI resume coach • Invoice reader • Brand-aware social media generator • Makeup review browser extension • Exam prep app for 8th graders • Mechanic price validator All live. All working. All at real URLs.

Day 2 of my free AI PM course breaks all of this down with real product examples. No code. No jargon. newsletter.justanotherpm.com/ai-product-man…

8 weeks. Live sessions. You ship a real AI product. No coding experience needed. 40 spots. April 1st. newsletter.justanotherpm.com/ai-pm-accelera…

@briandecoded That one hurt...the one I'm working on right now doesn't have an MCP plugged in 😢

@JustAnotherPM If your product doesn't have MCP, is it even a product?

Day 1 of my free AI PM email course covers exactly this — the one shift that changes how you think about building AI. Free. 5 min read. newsletter.justanotherpm.com/ai-product-man…