𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝘀 𝗼𝘃𝗲𝗿𝗵𝘆𝗽𝗲𝗱. That is what I told myself when I first started working on AI products. Turns out, I had no idea what an AI PM really did. After spending years watching world-class AI PMs, building AI products at scale, making 100s of bad decisions, I have a much better definition of the role. But, sadly, even today, most PMs trying to work on AI are in the same boat: confused and clueless about "what does an AI PM actually do." Here's the simplest mental model to think of an AI PM's role: An AI PM is responsible for finding answers to these 7 questions. 1. What problem should we solve to maximize impact? 2. Does this need AI? 3. Do we have the right data? 4. How do we turn data into something useful? 5. How will users experience it? 6. How do we know it works before launch? 7. How do we keep making it better? Let's understand in detail: 𝗪𝗵𝗮𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝘀𝗼𝗹𝘃𝗲 The problem must be specific, validated with real users, and solution-agnostic. If you get this wrong, the model does not matter. 𝗗𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗻𝗲𝗲𝗱 𝗔𝗜 This is the most important question an AI PM asks. And the answer is usually no. Saying no to AI when the situation does not call for it is not a failure. It is the job. 𝗗𝗼 𝘄𝗲 𝗵𝗮𝘃𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗱𝗮𝘁𝗮 "We have data" is not a strategy. An explicit data plan that includes what data we need, what we have, and what is missing is the right strategy. AI is only as good as the data behind it. 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝘁𝘂𝗿𝗻 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘂𝘀𝗲𝗳𝘂𝗹 Simple prompt, ML model, RAG, or agents. Each has a different use case, cost profile, and failure modes. The PM who skips this hands those decisions to engineering. 𝗛𝗼𝘄 𝘄𝗶𝗹𝗹 𝘂𝘀𝗲𝗿𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝘁 Users need trust, control, and recovery. Design for when the AI fails, not only for when it works. 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗸𝗻𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵 There is no binary pass/fail. Build an eval framework. Define good, bad, and edge cases. Ship only when the product clears your threshold. 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗳𝘁𝗲𝗿 𝗹𝗮𝘂𝗻𝗰𝗵 AI products degrade in production if you stop watching them. Sample live conversations. Add new failure modes to your test set. Never stop monitoring. -- Want more details? I just published a full document covering everything I know about AI Product Management--the role, mental models, the mistakes I made and much more. Linked in the comments. Free. No email required, no paywall. I will keep it updated as the field evolves.

TwinTone + Nano Banana + Sora 2 + Veo 3 = $341,920/month We just built a "Creator Army" of content that never sleeps, never complains, and never misses a deadline. The image below is what happens when you stop chasing creators and start scaling systems. Honestly, we all know creator-led marketing in 2026 feels broken. If you’re a D2C founder, you know the drill... You ship $500 in free product → The creator "ghosts" you. You pay a $2k flat fee → The hook is weak and the lighting is worse. You wait 3 weeks for an edit → The trend is already dead. You try to scale → Your overhead for "manager" roles doubles. We replaced that entire headache with a $1k tech stack that outperforms a $100k agency. What’s inside the stack: 👉 Fastmoss / Kalodata → Scrapes today’s viral TikTok Shop winners. 👉 TwinTone → The heart of the operation. We use it to generate "Digital Twins" of high-converting creators. No shipping product, no flaky talent, no "reshoots." 👉 Nano Banana Pro → Instant, high-fidelity image generation for "product-in-hand" assets. 👉 Sora 2 + Veo 3 → Generates the raw, "shot-on-iPhone" style UGC footage at scale. 🚫 No more "flaky" creators. 🚫 No more ghosting. 🚫 No more expensive production delays. How the system works... The Mirror: We take a winning competitor ad and "TwinTone" it—rebuilding the same high-converting hook with a completely new AI persona. The Swarm: Instead of one video, we launch 50 variations. The Compound: When one video catches an algorithm wave, the system automatically generates 10 more "descendant" videos from that winning seed. It’s not just "AI content." It’s a Multi-Platform Swarm (MPS) that floods the niche, driving 24/7 traffic to TikTok Shops and Amazon listings. No scaling ceiling. Just pure distribution. Want to see the backend of this workflow? Comment “TWINTONE” and I’ll send the full automation blueprint to your DMs. (Must be connected) PS – Repost this if you’re tired of being ghosted by influencers. I'll send an extra guide on "The 5 Hooks that AI generates better than humans."