The AI Native PM - Masterclass | Day 2 | HelloPM

Join the upcoming AI Flagship Bootcamp: https://hellopm.co/?ref=ytv How AI Products Are Actually Built | LLMs, RAG, Fine-Tuning & AI Agents Explained for Product Managers. Cursor saves millions every month by not using Claude. NotebookLM answers questions across 100 PDFs without breaking a context window. ChatPRD turns a single line of text into a complete product requirements doc. These products feel like magic. They are not. Every modern AI product, from ChatGPT to Claude Code to Cursor, is built using four engineering patterns stacked on top of language models that hallucinate, forget, and cost too much. Once you see the pattern, you can build, evaluate, or take apart any AI product on the market. This is Day 2 of the AI Native PM Masterclass. Almost two hours of real product architectures from companies you already use. No theory. No fluff. By the end of this video, you will be able to look at any AI product and reverse-engineer exactly how it works. 🔥 What you'll actually learn in this video ▸ The 6 real limitations of every LLM that AI Product Managers must internalize: hallucination, non-determinism, cost, context window limits, locked memory, and reactivity. Most AI products fail because PMs skip this step. ▸ How ChatPRD really works under the hood, and why you can rebuild it in Gemini Gems or Claude Projects in 10 minutes. (Hint: system prompt + structure + few-shot examples is the entire trick.) ▸ RAG explained from scratch using a "sugar from your nagging neighbor" analogy that finally makes Retrieval Augmented Generation click. Plus chunking, knowledge bases, vector search, and why smart retrieval beats giant context windows every time. ▸ NotebookLM dissected as a live RAG case study. What every product manager should reverse-engineer about Google's research tool before building their own. ▸ The full Cursor Composer story: how they took Moonshot's Kimi K2, fine-tuned it on millions of rows of data, and shipped a model that benchmarks close to Opus 4.7 at a fraction of the cost. Plus what they hid from users at launch, and how the internet caught them. ▸ The DeepSeek controversy and transfer learning explained. Why "standing on the shoulders of giants" is now the dominant cost-reduction strategy across AI labs. ▸ When to use prompt engineering vs RAG vs fine-tuning vs AI agents. Most teams get this decision backwards and burn months of runway before realizing the mistake. ▸ What an AI agent actually is: LLM + Tools + Memory + Environment + Guardrails. Why Claude Code and OpenCode are the textbook examples every aspiring AI PM should study line by line. ▸ Harness engineering, the term that did not exist six months ago and is now the most important skill for any serious AI Product Manager. If you cannot define it, you are already behind. 🛠️ Real AI products dissected in this session ChatPRD · NotebookLM · Cursor · Composer 2 · Claude Code · OpenCode · Kimi K2 · Gemini Gems · ChatGPT Custom GPTs · Lovable · Google AI Studio · Anthropic Claude · OpenAI GPT · DeepSeek · Moonshot AI If you have used any of these, you owe it to yourself to know how they work. 👀 Who this video is for ▸ Product managers trying to break into AI PM roles in 2026 ▸ Senior PMs who want to genuinely understand what their engineering teams are shipping ▸ Engineers, designers, and founders tired of nodding along in AI conversations ▸ Anyone who has used ChatGPT or Claude and asked "but how does this actually work behind the scenes?" If you can finish this video and explain to a friend how Cursor cuts cost, why NotebookLM doesn't break on large documents, and what makes Claude Code an agent instead of a chatbot, you are already ahead of 95% of people calling themselves AI PMs on LinkedIn. 🚀 Want to go 10x deeper? Join the AI Native PM Cohort at HelloPM This masterclass is a free preview of what we teach across 15 weeks. Over 2,500 PMs trained at HelloPM are now working at Meta, Microsoft, Amazon, Cred, Freshworks, Razorpay, and most major Indian and global unicorns. ✓ 2 years of access, mock interviews, internal job board, 1:1 mentorship, and 5 real PM portfolio projects you can show in interviews ✓ Curriculum updated every cohort. Harness engineering is already a module in the May batch. 🎯 Schedule a 1:1 call → https://hellopm.co 📩 Email Ankit directly → [email protected] 📬 Subscribe for more AI Product Management content If this video helped you understand how AI products are built better than any 5-minute explainer ever has, hit subscribe. We post serious AI PM content every week, and the comment section is one of the best places online to talk shop with real product people. Drop a comment with your biggest takeaway from this session. 🔗 Connect with Ankit Shukla LinkedIn (100K+ followers) → linkedin.com/in/ankythshukla Website → hellopm.co