Building an interactive AI learning atlas
How a Read, Try, Build journey connects AI explanations, capability examples and practical workflows through a keyboard- and touch-navigable pixel atlas.
The problem
An AI website can offer many useful pages while leaving newcomers unsure where to begin. This atlas gives each destination a purpose and connects learning to something a visitor can try or build.
The approach
Read introduces language-model milestones and concepts. Try connects categorization, resources and a practical self-assessment. Build leads to projects, reusable workflows and the JIA system map.
A stepped pixel snake marks position and progression. The shared scene supports scrolling, arrow keys, touch gestures, playback and a reader that can be resized or closed.
Readable labels and explanations accompany the visual path. Reduced motion keeps manual navigation available; the page index and normal links let people choose a destination directly.
What the implementation enables
Visitors can follow a guided route or explore independently, then move from a concept to examples and a recipe without leaving the same navigation model.
How it is checked
Scene and navigation tests cover starting positions, keyboard movement, reader resizing, reduced motion and transitions between pages. Desktop and phone checks complement these tests.
Limits and tradeoffs
An engaging animation does not demonstrate improved learning by itself. No measured learning gain is claimed here. Future timeline scenarios must remain visibly distinguished from documented history.