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Lenny's Reads

Lenny Rachitsky
Lenny's Reads
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  • Build your personal AI copilot
    If you're a premium subscriber, get the full episodes in your podcast feed by visiting https://add.lennysreads.comRead the full post: https://www.lennysnewsletter.com/p/build-your-personal-ai-copilotTal Raviv went from an AI skeptic to teaching over 20,000 tech workers how to use AI to move faster at work. In this episode, he shares a step-by-step guide to building your own AI copilot using ChatGPT, Claude, Gemini, or M365 Copilot. If you're still wondering how to leverage AI, start here.In this episode, you'll learn• How AI copilots become thinking partners that know you and your work inside out• Why Tal prefers the term context engineering• The four-step framework for building a useful copilot• Dozens of example prompts for strategic thinking, learning, and productivity• How to output structured documents, prototypes, and automations• How to create a copilot that gets smarter with every project• What's next: AI copilots that push you to be betterReferences• A guide to AI prototyping for product managers: https://www.lennysnewsletter.com/p/a-guide-to-ai-prototyping-for-product• Becoming a super IC: Lessons from 12 years as a PM individual contributor | Tal Raviv: https://www.youtube.com/watch?v=wFhurV1l6Jk&t=975s• How Experienced Growth PMs Analyze Data with AI: https://maven.com/p/eddc27/how-experienced-growth-p-ms-analyze-data-with-ai• How to book Tal for one-day team workshops: https://talraviv.co/• Make product management fun again with AI agents: https://www.lennysnewsletter.com/i/162096097/ai-agent-builder-prompt• Oleksii Monchyk: https://www.linkedin.com/in/oleksii-monchyk-91ba09171/?originalSubdomain=de• OpenAI researcher on why soft skills are the future of work | Karina Nguyen: https://youtu.be/DeskgjrLxxs?si=4boISMhdv6pSkiOc&t=3071• Product manager is an unfair role. So work unfairly: https://www.lennysnewsletter.com/i/151079492/get-a-head-start-on-discovery-with-product-scrapbooking• Student Example #1: Career development copilot for women: https://www.youtube.com/watch?v=sblODeX-FGk• Student Example #2: Onboarding copilot for new PMs: https://darshen.substack.com/p/the-pm-onboarding-copilot• Tal’s “Build Your Personal PM Productivity System & AI Copilot” course in September: https://maven.com/tal-raviv/product-manager-productivity-system?promoCode=LENNYSLIST (use code LENNYSLIST for $100 off)• Tal’s free guide and live demos of advanced copilot use cases: https://talraviv.co/• Tal’s upcoming free lightning lesson on how to use Cursor as a PM copilot: https://maven.com/p/0a96cb/cursor-isn-t-just-for-coding-how-ai-native-p-ms-workListen: YouTube: https://www.youtube.com/@lennysreads | Apple: https://podcasts.apple.com/us/podcast/lennys-reads/id1810314693 | Spotify: https://open.spotify.com/show/0IIunA06qMtrcQLfypTooj | Newsletter: https://www.lennysnewsletter.com/subscribeFollow Lenny: Twitter/X: https://twitter.com/lennysan | LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ | Podcast: https://www.youtube.com/@lennyspodcastFollow Tal: Twitter/X: https://x.com/talraviv | LinkedIn: https://www.linkedin.com/in/talsravivWelcome to Lenny’s Reads, where every week you’ll find a fresh audio version of my newsletter about building product, driving growth, and accelerating your career, read to you by the soothing voice of Lennybot. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe
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  • Essential reading for product builders—part 1
    If you’re a premium subscriberAdd the private feed to your podcast app at add.lennysreads.comI share seven timeless essays that have shaped how I think about product, startups, and career. These are the pieces I quote often, revisit regularly, and think about long after reading. You likely haven’t come across most of them—but they’re must-reads for any … To hear more, visit www.lennysnewsletter.com
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  • The definitive guide to mastering product sense interviews
    Ben Erez is a former PM at Meta, the first PM at three different startups, and now a full-time interview coach and educator. In this episode, Ben shares the five-part framework he developed after studying dozens of mock interviews, interviewing 50+ candidates at Facebook, and coaching hundreds of PMs through their job searches. It’s designed to help you master one of the most misunderstood stages of the PM interview loop: the product sense interview.If you’re a premium subscriber:Add the private feed to your podcast app at add.lennysreads.com: https://add.lennysreads.com/Subscribe: • YouTube: https://www.youtube.com/@lennysreads• Apple: https://podcasts.apple.com/us/podcast/lennys-reads/id1810314693• Spotify: https://open.spotify.com/show/0IIunA06qMtrcQLfypToojIn this episode, you’ll learn• Ben’s five-part framework for acing product sense interviews• How to set assumptions and lead with structure• How to define a clear mission that guides every decision• A process for segmenting users and developing strong personas• How to map user journeys and surface high-impact problems• A method for brainstorming, prioritizing, and scoping solutions• Lessons from mock-examples (Claude, Meta, and Netflix)• Common pitfalls to avoid, and how to practice effectivelyReferences• AI Practice Copilot for Product Sense & Analytical Thinking Interviews: https://payhip.com/b/LCkbr• Attentive: https://www.attentive.com/• How to Ace Product Sense PM Interviews: https://maven.com/p/af5908/how-to-ace-product-sense-pm-interviews• Lewis Lin’s PM Question Bank: https://docs.google.com/spreadsheets/d/1rz10oEeLx-eGnilahKczYPhGfCUzIEKL-xRnjoQ-SX4/edit?gid=1024620532#gid=1024620532• Product Sense Interview Template: https://docs.google.com/spreadsheets/u/0/d/1-jdZAVtLuk8dUnf9peUKlNkguSOuAk5VdMPTmgr9Kns/edit• Recorded Mock of PS Response: https://grain.com/share/recording/be7899c9-f09e-4a18-93ec-ef40e7a26fac/Sex5ycmtyfFMOytY9K16yYQAx5p7lEn7X8D0fy2b and the Completed Template: https://docs.google.com/spreadsheets/d/1WV2kQNdM_kKHvr6Wsq0Znx7-r1gLK0qTOcuZg3LPqwo/edit?usp=sharing• The Definitive Guide to Mastering Analytical Thinking Interviews: https://www.lennysnewsletter.com/p/8fe3dc12-1ed3-4876-a73d-2be943f18204Follow Lenny: • Twitter/X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/• Podcast: https://www.youtube.com/@lennyspodcastFollow Ben: • Twitter/X: https://x.com/ViableBen• LinkedIn: https://www.linkedin.com/in/benerez/• Newsletter: https://benerez.substack.com/AboutWelcome to Lenny’s Reads, where every week you’ll find a fresh audio version of my newsletter about building product, driving growth, and accelerating your career, read to you by the soothing voice of Lennybot. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe
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  • The definitive guide to mastering analytical thinking interviews
    If you’re a premium subscriberAdd the private feed to your podcast app at add.lennysreads.comBen Erez is a former PM at Facebook, the first PM at multiple startups, and now a full-time interview coach and educator. In this episode, he shares the five-part framework he’s used to help hundreds of PMs land roles at top companies. It’s the most practical, e… To hear more, visit www.lennysnewsletter.com
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  • An AI Glossary
    If you’re a premium subscriberAdd the private feed to your podcast app at https://add.lennysreads.comYou’ve probably heard terms like LLM, transformer, and hallucination, but do you really know what they mean?In this episode, I walk through 20 of the most common AI terms with dead-simple explanations you can actually understand (and use).In this episode, you’ll learn• What a “model” actually is• The difference between pre-training, fine-tuning, and RLHF• What transformers are—and why they changed everything• How prompt engineering and RAG improve model outputs• What AGI and ASI really mean• The difference between LLMs, GenAI, and GPT• Why models hallucinate (and how to prevent it)• What synthetic data is—and why it matters• How vibe coding works and what agents can actually do• What MCP, inference, and tokens are in plain EnglishReferenced• A complete guide on RLHF• AGI vs ASI• Andrej Karpathy on LLMs• Andrej Karpathy on vibe coding• Anthropic’s guide on building effective agents• Anthropic’s guide to reducing hallucinations• Fine-tuning vs RAG vs prompt engineering• Guide to model context protocol (MCP)• How LLMs work• How fine-tuning works• How top models tokenize words• How training and pre-training works• Ilya Sutskever on AGI• Ilya Sutskever on next-word prediction• Lenny’s Podcast on prompt engineering• Make product management fun again with AI agents• RLHF explainer• Sam Altman on synthetic data• Technical deep dive on transformers• What are transformers?Subscribe: YouTube | Apple | SpotifyFollow Lenny: Twitter/X | LinkedIn | PodcastAboutWelcome to Lenny’s Reads, where every week you’ll find a fresh audio version of my newsletter about building product, driving growth, and accelerating your career, read to you by the soothing voice of Lennybot. To hear more, visit www.lennysnewsletter.com
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