Hey all, We are hosting a live masterclass on December 14th, 2025, at 4:30 PM IST. In this session, we will break down a structured approach to building AI features using an AI-First PRD, and why this method helps teams move beyond one-off demos toward stable, shippable features. CLICK HERE to register. It will be a practical session focused on how real AI products are built. Oh yeah! We are also doing a giveaway for 5 members who attend live. See you inside, — JAPM Team

Yayyy! We are excited to give you 40% OFF on our two most popular PM products. (but please note that the sale is live only for today). 1. Fundamentals of Product Management (FOP): A practical, real-world introduction to PM that strengthens your foundations. You will learn how to understand users deeply, prioritise effectively, and build roadmaps that create meaningful impact. Original: $300 After 40% OFF: $180 Link: justanotherpm.com/product/fundamentals-of-product-management Bonus: Includes 40% OFF on our upcoming AI PM course. 2. PM Interview Toolkit: A complete system to help you prepare confidently for PM interviews. You will get clear frameworks for product sense, execution, and behavioural rounds. Plus 60 solved FAANG-style questions. Original: $100 After 40% OFF: $60 Link: justanotherpm.com/product/product-management-interview-toolkit Use this code at checkout: JAPMBFCM If you are looking for your next PM role or want to sharpen your core skills, this is a strong opportunity to invest. The offer ends today, and it’s available only for the Skool community. I promise, it's totally worth grabbing before it closes.

And this one is exclusive to our Skool community members. Hey hey, You get 40% OFF on our two most popular PM programs. The sale is live ONLY till tomorrow. 1) Fundamentals of Product Management (FOP) It's a practical, structured introduction to real-world PM. Strengthen your foundations, refine your decision-making, and build clarity around users, prioritisation, and roadmapping. Original: $300 After 40% OFF: $180 Link: justanotherpm.com/product/fundamentals-of-product-management BONUS: Buying this product will instantly give you 40% OFF on our upcoming $800 AI PM course. 2) PM Interview Toolkit It's a complete system to help you prepare for PM interviews. Get clear frameworks for product sense, execution, behavioural rounds, and 60+ solved FAANG-style questions. Original: $100 After 40% OFF: $60 Link: justanotherpm.com/product/product-management-interview-toolkit Use code at checkout: JAPMBFCM If you are planning your next move or aiming for a stronger PM role, this is a great moment to invest. The discount ends tomorrow, and it won’t be available outside this community. See you inside!

Most PMs struggle with AI. And that's not because the tech is hard, but because they bring the wrong mindset. They try to manage AI work like traditional software: fixed timelines, predictable delivery, and clear answers early. But AI doesn’t work like that. Variance is the norm. Exploration beats estimation. Confidence intervals matter more than deadlines. The PMs who thrive in AI think differently, plan for uncertainty, and align teams on outcomes. I know, I know. Some of this might sound strange if you have only worked in traditional product teams. AI flips a lot of familiar PM instincts. And unless someone explains why, it all feels “off” or inconsistent. This is the shift we will break down in this week’s AI PM Masterclass (yep, on 22nd this week), the mental model every PM needs for the next decade. We are sharing pre-reads, examples, and frameworks in the WhatsApp group before the session. 👉 Join the WhatsApp group (link in registration email) 👉 Register for the event here See you inside.

Traditional software behaves predictably. AI doesn’t, and that changes everything. In non-AI software: Requirements = clarity + control. Same input → same output. In AI systems: Requirements = guardrails + boundaries. Same input → multiple valid outputs. You define what the system can’t do, and what “good enough” means. Most PMs miss this mindset shift because deterministic thinking breaks in probabilistic systems. For example: Wrong password → show error. (Predictable.) “Recommend the best song right now” → no single right answer. Only probabilities. That’s why AI PMs ask different questions: - What accuracy range is acceptable? - What failures must never happen? - How should the product behave when it’s uncertain? - Where are fallbacks needed? - What does “safe” actually mean here? Requirements shift from fixed outputs → flexible constraints. And this impacts everything: - Roadmaps: milestones = model improvement - UX: UIs must support uncertainty, editing, and explanations - Testing: evals > test cases; quality becomes continuous If you are building AI products, this mindset isn’t optional anymore. I’m breaking this down further in the upcoming AI PM masterclass. Register for the FREE masterclass here. And oh! Do not forget to join the WhatsApp group for updates and engaging conversations.