If your goal is to understand what AI is and is not
Take these in order. Fifteen minutes gets you step one; forty-five gets you the first two; two hours gets all three.
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Build an AI learning route that fits the work.
AI literacy depends on who is using the system, for what purpose, at what level of risk, and who may be affected. Build a route below or use the curated starting points. No email, account, or server-side profile.
Build your route
Turn “learn AI” into a specific, reviewable learning plan
Choose your context, goal, stakes, and time. The result is deterministic, stays in your browser, and routes you through the existing curriculum with a human-review rule suited to the work.
All five routes, written out
The builder above is a convenience. Nothing is hidden behind it — here is every route it can produce, and every human-review rule it can apply, so the page is complete whether or not scripting runs.
If your goal is to use it better on a real task
Take these in order. Fifteen minutes gets you step one; forty-five gets you the first two; two hours gets all three.
If your goal is to choose tools without chasing hype
Take these in order. Fifteen minutes gets you step one; forty-five gets you the first two; two hours gets all three.
If your goal is to set safe rules for a team or project
Take these in order. Fifteen minutes gets you step one; forty-five gets you the first two; two hours gets all three.
If your goal is to build or automate something
Take these in order. Fifteen minutes gets you step one; forty-five gets you the first two; two hours gets all three.
The three human-review rules
Pick the one that matches the consequence of being wrong, not the one that matches how confident the output sounds. This is the single judgement the rest of the site keeps returning to.
Low
Low stakes still require a quick factual check. Do not paste confidential, personal, privileged, or licensed material into a tool without authorization.
Meaningful
Use a named human reviewer, preserve important sources, and test the output against a known example before relying on it.
Rights, money, health, safety, or reputation
Do not treat model output as the decision. Require qualified human review, source verification, documented approval, and a non-AI fallback or escalation path.
UNESCO competencies
Human-centred mindset, ethics, foundations and applications, and responsible design—not tool tricks alone.
NIST AI RMF
Govern, map, measure, and manage risk in context, with testing and documentation proportional to impact.
EU AI literacy
Learning should reflect technical knowledge, experience, context of use, and the people affected by the system.
Framework references: UNESCO AI Competency Framework · NIST Generative AI Profile · European Commission AI Literacy FAQ.
What brings you here today?
Five common starting points
Completely new to AI
Start with the real story
You want to understand what generative AI actually is and where it came from, without hype or jargon.
Want to use AI better, today
Get the working methods
You already use ChatGPT or Claude sometimes and want to get noticeably better at prompting and applying it.
Deciding which tool to use
Compare before you commit
You're choosing between ChatGPT, Claude, Gemini, and Perplexity, or trying to build a lean toolkit.
Following the AI news cycle
See where things actually stand
You want the real 2026 numbers and the honest, unresolved debate over artificial general intelligence.
Want the primary sources
Go straight to the citations
You want to verify a claim, or you're looking for a specific free resource — official docs, papers, or tutorials.
How much time do you have?
Three honest time budgets
Just a few minutes
Skim the Frontier & AGI stat grid, or click one entry on the History timeline.
A focused session
Read one full tab on Techniques, or one category on Use Cases, start to finish.
The whole picture
Read front to back: History → Concepts → Techniques → Use Cases → Tools → Templates → Frontier & AGI.
Or just see everything
The full site, in reading order
02History76 years, 17 sourced turning points
03ConceptsHow it actually works, plus a visual map
04TechniquesPrompting, image/video, agents, vibe coding
05Use CasesConcrete tasks, worked examples, review notes
06ToolsChatGPT vs Claude vs Gemini vs Perplexity
07TemplatesFree, ungated checklists and prompt packs
08Frontier & AGIToday's landscape and the open debate
09Resource LibraryEvery free resource, searchable
10AboutSourcing standard, FAQ, disclaimers
Most people start here
Begin with where AI actually came from.
Turing, Dartmouth, two winters, and the transformer — the sourced history, in full.