Duolingo-style AI concepts learner
The assignment
Build an app that makes you learn AI concepts the Duolingo way. Wire it up with PostHog for analytics.
✳What Himanshu shipped
PM Quest is a nine-module learning roadmap spanning PM fundamentals through dedicated AI PM topics, including modules on LLM foundations (tokens, embeddings, attention, hallucination), RAG vs. fine-tuning, what makes an agent, and prompting, context, and evals. Each module pairs a core lesson with a case study and an apply exercise. The app tracks a daily XP/goal progress bar and a day streak counter, with modules unlocking in sequence.
✳Our read on this build
Himanshu shipped a deployed web app you can open. This read comes from the artifact and Himanshu's own account of it — no scores, just what the build does and does not show.
What it demonstrates
- The return loop is real: streaks, XP and a daily goal — the mechanics that make a habit instead of a bookmark.
- The syllabus is the real vocabulary — tokens, embeddings and attention — not a tour of how AI is changing everything.
What is not shown
- No analytics wiring is visible in what is public, so how the app is really used stays unknown — including to its builder.
Take this awayCopy the discipline more than the curriculum — instrument on day one. Shipping without analytics makes your next iteration a guess.
✳Why this quest matters
Retention is a design problem, not a content problem. Wiring PostHog in from day one is the tell of a builder who ships to learn from real behaviour — rather than to admire their own screenshot.
✳What separated the strongest builds
A loop worth coming back to
Bite-sized lessons, instant feedback, and a reason to return tomorrow — streaks, XP, spaced review. A long article with a quiz at the end is not the Duolingo shape.
Concepts that are worth the streak
Tokens, embeddings, attention, hallucination, RAG — the vocabulary a PM needs in a real conversation, not 'what is AI' trivia.
Instrumented, not just launched
PostHog wired in and firing real events. An analytics claim nobody can verify tells a reader nothing about how the product is used.
No numeric scores are published here. These pages are written reads of what each builder shipped — the build is the point, not a mark out of a hundred.