Re-tool the PM craft with AI — pick the right model for each task, run faster research loops, and sharpen competitive analysis.
For: Product managers and product-minded builders
Follow the steps in order. Each link opens an existing guide in the Learn Hub.
GPT-5 vs Claude Sonnet 4.6 vs Gemini 2.5 Pro — when to use each
Pick the right model for each PM workflow.
Open guideAI-powered search with citations, free tier, Pro plans
Perplexity is the PM's research engine.
Open guideFree tier, ₹399/month Go plan & how to get started
Use ChatGPT for specs, JTBD drafts, and user interviews.
Open guidePractical, real-world use cases for personal AI assistants across work, study and daily life
Daily-assistant workflows that compound a PM's output.
Open guideCombine Cursor + Claude Code + Copilot for the ultimate AI-powered dev workflow
Understand how your engineers actually work with AI.
Open guideAd copy, social media, SEO content generation
Partner closely with growth — same tools, PM lens.
Open guideMMLU, HumanEval, SWE-bench, GPQA for developers
Read benchmarks critically when evaluating vendors.
Open guidePMs were among the first non-engineers to feel the AI productivity jump and the first to feel the pressure. This path retools the PM workflow around the strengths of frontier models: deeper user-research synthesis, faster competitive intel, sharper PRDs, and a real review loop with engineering that's grounded in code-level understanding. It's targeted at India-based PMs in startups and product orgs of 50-500 people.
Only if you let it. The path shows how to feed AI your real customer-research raw notes, your real competitor pages, and your real engineering constraints — what comes out is recognizably yours, just faster.
No. The 'reading code' guide is specifically for non-engineering PMs and shows you how to ask the right questions of an AI to understand a Pull Request without ever opening an editor yourself.
Same answer as the founder path — use Team/Workspace tiers, which default to no-training. Don't paste sensitive strategy into free consumer ChatGPT.
Three: deep technical PMing for ML platforms (covered in Build with AI), B2B sales-engineering (covered in Enterprise AI), and growth analytics (use the Data & Analytics prompt category for now).
Done with this path? Try another one.
See all 10 learning paths