This page summarizes where the system writes artifacts and what each directory contains.
data/
├── audience_research/       # Personalized learner/entity profiles (JSON/MD)
├── domain_research/         # Professional domain analyses (JSON/MD)
data/config/entities.yaml<Entity>_research_<YYYYMMDD>.{json,md}data/config/domains.yaml<Domain>_research_<YYYYMMDD>.{json,md}data/
├── written_curriculums/     # Generated curricula (per domain/entity)
├── translated_curriculums/  # Multilingual versions by language
.md files and a summary .json.data/written_curriculums/Coffee Roasting/spanish/, french/, chinese/, tagalog/)..md sections matching the source curriculum.data/visualizations/
├── *_flow.mmd                 # Mermaid flow diagrams
├── *_section_breakdown.png    # Section-level charts
├── curriculum_metrics.{json,png}  # Aggregate metrics
├── curriculum_structure.mmd   # Overall structure diagram
Run from learning/curriculum_creation/:
uv run python 3_Introduction_Visualizations.py
data/prompts/
├── research_domain_analysis.md
├── research_domain_curriculum.md
├── research_entity.md
└── translation.md
These drive LLM prompt engineering for research, curriculum, personalization, and translation.
data/config/
├── entities.yaml
├── domains.yaml
└── languages.yaml
Use these to control which entities/domains/languages are processed.