# Founding Prospectus — HTML/CSS Publishing Pipeline

Museum-quality path for a long book:

**Manuscript (HTML chapters) → Design (CSS) → Chromium print (Playwright) → PDF**

This is what ChatGPT meant by using an AI coding tool (OpenClaw) instead of finishing 200 pages inside chat.

## Quick start
```powershell
cd C:\Users\vanis\Desktop\Founding_Prospectus\publishing
pip install playwright
python -m playwright install chromium
python build.py
```

Open: `dist\Founding_Prospectus_HTML.pdf`

## Layout
```
publishing/
  book.html           # master volume (sample of full book)
  chapters/           # modular chapters
  styles/book.css     # brand + print design
  assets/             # images (add licensed photos here)
  dist/               # generated PDFs
  build.py            # HTML → PDF
  OPENCLAW_TASK.md    # handoff for OpenClaw / Codeina
```

## Two pipelines (both valid)
| Pipeline | Tool | Best for |
|----------|------|----------|
| **HTML/CSS** (this folder) | Playwright | Long book, design iteration, OpenClaw expansion |
| **ReportLab** (parent `build_pdfs.py`) | Python only | Fast institutional manuals already complete |

## Press notes
- Working size: US Letter
- Flagship target: 9×12 in (change `@page` in CSS)
- Bleed/images: add in CSS + `assets/` before commercial print
- Final polish may still move to InDesign/Affinity after content freezes

## Brand
Forest · Bronze · Ivory · Charcoal · Watershed Blue (maps only)  
**The Future Is Cultivated.**