A step-by-step path through the full AI ecosystem, one recommended tool per category, progress you can track, and three tracks for every skill level.
No account required · Progress saved in your browser
Why this exists
We built this because the usual resources don't solve the actual problem — and the actual problem is knowing what to learn, not finding more content.
New models, frameworks, and tools drop every week. By the time you finish a tutorial it's already outdated. You can't read your way to breadth anymore.
There are 15 ways to build an agent, 20 embedding stores, and 30 chat UIs. Most do nearly the same thing. Knowing which one to actually learn is the real skill.
Google gives you blogs. YouTube gives you 4-hour tutorials. Neither tells you what order to learn things in, what you can safely skip, or when you're done.
The solution
This isn't a course and it isn't a blog. It's a structured, opinionated guide through the AI landscape — built for people who want to know the whole picture without drowning in it.
Each category names one tool to start with, explains what the category is for, and links out when you want to go deeper. You check it off and move on.
Not a course
No video lectures, no assignments
Not a blog
Not just another "top 10 AI tools" list
A guided breakdown
Ordered phases, one tool per category
Living reference
Come back whenever the landscape shifts
Every category in one place — scroll through all 14 areas at a glance.
How it works
AI has hundreds of tools across dozens of overlapping areas — agents, chat, code, video, data, and more. Learn gives you an ordered pathfinder through all of it: pick your track, work phase by phase, and know exactly where to go next.
Step 01
13 categories, 71 learning areas, and 300+ tools — organized in one place instead of scattered lists and “top 10” blog posts.
Step 02
Non-Tech, No-Code, Developer, and Optional — 4 audience paths that filter the noise so you only see what's relevant to your role.
Step 03
Each track breaks into ordered phases. Expand a phase, mark categories as learned, and always know what to tackle next — progress saves in your browser.
Step 04
Every subcategory highlights a recommended starting point — build breadth across the ecosystem without comparing a dozen overlapping options first.
Tree view
Sections branch into subcategories, then into tools — the same interactive tree on the Breakdown page. Preview 13 categories, 71 areas, and 300 tools.
Pan, zoom, and filter by track on the full breakdown page.
Open full tree viewOpen the guided path, work through Track 1 at your own pace, and mark categories as you go — the full ecosystem breakdown is always one click away.
4 tracks · 71 subcategories · 300 tools
Devon Wijesinghe
Technical Lead
This breakdown is based on my understanding of the AI ecosystem — cross-checked with a few AI engineers — but it's meant to evolve. If something looks off, missing, or outdated, I'd really value community input to improve it.
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