Introduce Classify-And-Act through Loop Until Done after primitives,
map each onto agent/parallel/pipeline, show review-changes as a
fanout+verify composition, and add a matching six-panel SVG.
Co-authored-by: Xinlu Lai <CrazyBoyM@users.noreply.github.com>
- 11 sessions from basic agent loop to autonomous teams
- Python MVP implementations for each session
- Mental-model-first docs in en/zh/ja
- Interactive web platform with step-through visualizations
- Incremental architecture: each session adds one mechanism