AI Learning OS

Current rank

ML Explorer

Build a stronger foundation and unlock the Deep Learning track.

Level 7 240 / 500 XP

500 XP PER LEVEL

Daily quest

1 / 3 recall · code · scenario

Study week

MTWTF

4 / 5 days

Overall mastery

0% 0 concepts due today

Streak buffer

1 freeze available

AI Engineer Track

66 topics · 464 sub-topics

Lessons done

0 of 0 lessons0 cards in deck

Practice arena

Train like an engineer

Every challenge targets a different kind of mastery: memory, math, implementation, debugging, or judgment.

Confidence-based repetition

Build your review deck

Every card asks one thing: how confident are you — not whether you were "right." Rate low and it resurfaces soon; rate a 5 and it fades into the background, hardly repeating again.

Option 1 · Automatic

Continue from Roadmap

Auto-build a deck from every topic you've already started or completed on the roadmap.

0 topics ready

Option 2 · Manual

Choose Topics

Open the topic list and hand-pick exactly which concepts you want flashcards on.

Option 3 · Bring your own

Generate cards with your AI

Copy a prompt built from your current topics, paste it into any LLM along with what you studied, then upload the JSON it hands back.

Cards matching an existing topic slot in; anything new starts its own topic.

Option 4 · Mixed practice

Mix it up

Pulls what's due and what's shakiest from across the whole roadmap, deliberately jumping between tracks. Harder than studying one topic — and that difficulty is the point.

Study method

Explain before revealing

Write the answer in your own words before you see it. Producing an explanation yourself sticks far better than recognising a correct one.

Ask me to explain each card

Your recall

How well do you know your deck?

Every card sits at the confidence you last gave it. Click a band to drill only those cards.

Build mode

Turn concepts into proof

Every project unlocks the moment you finish the one sub-topic it builds on. Work through its definition of done, save the repo, and the XP lands as you go.

Done

0 of 0 complete0 XP earned

Get the dataset

Saved by us

Things worth coming back to

One shelf you both add to — articles, videos, papers, threads. Export it to a file to trade finds with a learner on another machine.

Weekly league

AI Engineer League

XP comes from learning, recall, coding, debugging, and completed projects — not passive video watching.

#1A Abdulaziz0%1,240

#2F Friend67%1,105

Concept vault

Learning Path