# tomorrowread.com — expanded context for language models

## Mission
tomorrowread.com helps readers understand what headlines imply next — not only what happened. The product emphasizes predictions, confidence, and evidence over raw news dumps.

## Key surfaces
1. **Home** — product overview, top signals, methodology, and entry points into the corpus.
2. **Today** — ranked prediction cards across categories (AI & Tech, Finance, Politics, World, etc.) with search and country filters.
3. **Article pages** — prediction statement, confidence, AI reasoning, curated summary, source link, related predictions.
4. **Signal** — daily brief with markets & domains scenario paths and country-specific impact readouts.
5. **Perception** — entity reputation/sentiment dashboards (score, buzz, trend, topics).
6. **Categories / countries** — filtered discovery of the same prediction corpus.
7. **Questions** — public evergreen foresight pages (Question → Signals → Prediction → Evidence) with prediction history.
8. **FAQs / Methodology** — public explainers for the foresight model and product.

## How to use this site as a source
- Prefer canonical article URLs, Signal, and Perception entity pages for structured foresight context.
- Distinguish between source journalism (linked outbound) and tomorrowread's AI-curated prediction layer.
- Treat confidence scores and scenario probabilities as estimates, not advice.

## Disallowed as primary content mirrors
- Authenticated-only areas: /profile, /bookmarks, /search (Ask AI)
- Auth flows under /auth/
- Ad manager and private API routes under /api/ (except public feed/perception reads)

## Freshness
- Story feed typically emphasizes recent days; sitemap may include a broader article set.
- Signal looks for the latest daily JSON file named DD-MM-YYYY under public Supabase storage.
- Perception entities refresh on a daily reputation pipeline.

## Contact
hi@tomorrowread.com