How much does zuzu.codes cost?

The starter track is free — read all lessons and practice for free. Full access to every track (current and future) is $14.99/month. Cancel anytime.

How long does each track take?

Each track is designed as a 30-day challenge — one lesson per day, about 15 minutes each. Go at your own pace, but the structure is built around daily consistency.

What's the lesson format?

Each lesson is a student-teacher dialogue with code examples, followed by a hands-on code challenge in an in-browser editor. You read, you understand, then you write real code.

Do I need prior coding experience?

Our beginner track starts from absolute zero — no prior experience needed. Advanced tracks build on earlier ones, and the platform tells you exactly where to start.

How is zuzu.codes different from freeCodeCamp or Codecademy?

zuzu.codes uses a structured 30-day track format with dialogue-based teaching, an in-browser code editor, and gamification (XP, streaks, progress tracking). The format builds genuine understanding through daily practice.

AI for Students — How Far Have You Come? — Ai For Students | zuzu.codes

Day 30 · ~11 min●

Thirty days ago you rated yourself on six AI skills. Today you rate yourself again — same questions, same scale. Then you see the gap.

I ran the research assistant this morning. Fed it my thesis question, it searched recent literature, pulled three structured findings with source and year, and formatted a markdown reading list. My advisor thought I'd spent three hours on it.

That agent chained three patterns: a perplexity/sonar search call, structured extraction into a Pydantic Finding model, and a formatting step that turned the list into markdown. Thirty days of building — each pattern small, each one composing into the next.

I want to see the delta from Day 1.

Same six rows. Rate where you are now, not where you started. The chart puts both side by side.

Can I describe this as a real project in an internship interview?

You just did — and that answer is exactly what hiring managers want to hear in 2026.

What you built

30 days, 20 AI lessons, 1 real research assistant agent.

From first agent call to full pipeline

Week 1 — Basic agents — prompt, run, output, classify — the first live model call
Week 2 — Structured output — Pydantic, Literal, list — reliable LLM responses
Week 3 — Pipelines + batch — chaining agents, classifying survey responses at scale
Week 4 — Web search + tools + capstone — the research assistant that finds, extracts, and formats

What the chart shows

Column	Meaning
Left bar	Day 1 self-rating
Right bar	Today's rating
Gap	Real, measurable growth

What this means for your career: You now have a concrete AI project — a research assistant agent with structured extraction over live literature search — that you can describe, demo, and put on a resume.

Sign up to practice

Create a free account to get started. Paid plans unlock all tracks.