Paweł Huryn's Linkedin Analytics

If I had to learn AI PM again, I would start here: 1. Basic Concepts For most PMs, it makes no sense to dive deep into statistics, Python, or loss functions. You can find all practical concepts, like LLMs and Encoders, here: https://lnkd.in/dveWsD9f - 2. Prompt Engineering Best, free resources: • GPT-4.1 Prompting Guide: https://lnkd.in/dt8FxriE • Anthropic prompt engineering: https://lnkd.in/dc-kucif • Prompt engineering by Google: https://lnkd.in/dEU2Y_9v • Anthropic prompt generator: https://lnkd.in/d_Tpakaw • Anthropic prompt library: https://lnkd.in/dGSQiByj - 3. Fine-Tuning Use those platforms to experiment with training and validation data sets and parameters such as epochs. No coding: • OpenAI Platform: https://lnkd.in/dGuNNNip • Hugging Face AutoTrain: https://lnkd.in/dAwHaWFF - 4. RAG (Retrieval-Augmented Generation) I recommend these resources: • Rag architectures (free trial): https://lnkd.in/dnmQ_kP8 • How to build a RAG chatbot without coding (free trial): https://lnkd.in/dew--RqD - 5. AI Agents & Agentic Workflows Start with: • n8n you can host for free. Experiment with agents, MCP, and tools. • A practical guide to AI agent architectures (free part): https://lnkd.in/dnmQ_kP8 - 6. AI Prototyping & Building I listed many tools, but in practice, Lovable, Supabase, n8n, and Netlify are 80% of what you need. You can add Stripe. No coding. When building, focus on the value, not hype. A free AI PRD template: https://lnkd.in/dQ2jiMfr - 7. Foundational Models My favorite models: • Claude for coding • ChatGPT for research • Gemini for writing - 8. AI Evals You might have the most advanced architecture. But the real question is this: Does your product actually work? Evals are the most critical element. And it's a task also for PMs. A detailed guide to AI evals. No paywall: https://lnkd.in/dHUFrkVs - Hope that helps! What did I forget? --- P.S. If you want to dive deeper, I recommend two AI cohorts. In the past, I particularly loved networking and rolling up my sleeves. 1) AI Evals For Engineers & PMs by Hamel H. and Shreya Shankar They share experiences from 35+ AI implementations (GitHub, Airbnb, Google) and 25+ years of experience. The next cohort starts on May 19. I'll be participating too. A special $600+ discount for my community: https://bit.ly/aievals35 2) AI Product Management Certification by instructors like Miqdad Jaffer (Product Lead @ OpenAI) I participated in the cohort in 2024. The next cohort starts on July 13. A special $500 discount for my community: https://bit.ly/aipmcohort

Value Proposition is an essential term for PMs. But it's largely misunderstood. And everyone defines it differently. It doesn't help that the most popular canvas: - Focuses on multiple products - Lumps jobs, pains, and gains without explaining their connections - Doesn't clarify what gain/pain relief each feature addresses - Doesn’t mention existing alternatives or workarounds Recently, Aatir Abdul Rauf and I collaborated to bring some order. A good value proposition defines: 1. Who is the value for: Persona 2. Why is it important: Jobs to be Done 3. What before: Existing, problematic state (e.g., maintaining tasks in Excel) 4. How: Features and capabilities (e.g., Kanban board) 5. What after: The benefits and outcomes (e.g., organized tasks with clear deadlines, increased productivity) 6. Alternatives: your unique value, unique attributes, and optionally relative pricing vs. competitors and substitutes (often represented as a Value Curve). What I loved about this format is that it allows you to tell the story. Value propositions are great alignment tools for PMs, leadership, and cross-functional teams. They are also an essential part of your product strategy. If: - Your product solves specific problems way better than alternatives - You message it effectively - You can quickly and easily onboard your customers ("Aha moment") - Your product delivers the benefits promised Your customers will be unable to resist. --- Hope that helps. 🎁 A free template (Google Docs): https://lnkd.in/d59tbVJy --- P.S. You can download 30+ high-definition product infographics here (PDF): https://lnkd.in/d5bHGj5j And here, you can read our full post with case studies: https://lnkd.in/du9zcZDA