# Read-o-Matic 2000

> Turn PDFs into structured content atoms, define reader personas, and rebuild source-faithful memos, essays, whitepapers, social posts, presentations, and more.

Read-o-Matic 2000 is a browser-first AI document adaptation engine. It atomizes source PDFs into reusable, source-faithful content primitives, lets a user describe each reader as a market of one, and reconstructs the source into audience-specific formats.

## Public pages

- [Read-o-Matic 2000](https://rom2k.com/): Product homepage and browser-based document workflow.
- [Contact](https://rom2k.com/contact): Contact Read-o-Matic 2000 by email, Signal, or WhatsApp.

## LLM-friendly page versions

- [Homepage in Markdown](https://rom2k.com/index.md): Clean-text product overview, workflow, formats, access model, and privacy summary.
- [Contact page in Markdown](https://rom2k.com/contact.md): Clean-text contact information.

## Discovery and policy

- [Sitemap](https://rom2k.com/sitemap.xml): Canonical public HTML pages.
- [AI policy](https://rom2k.com/.well-known/ai.txt): Machine-readable AI indexing and usage preferences.
- [AI policy JSON](https://rom2k.com/.well-known/ai.json): JSON companion to the AI policy.

## Core concepts

- Atomization: decompose a source document into source-faithful content primitives before reconstruction.
- Persona adaptation: tailor relevance, evidence, rhetoric, and format to a specifically described reader without adding unsupported source claims.
- Content reconstruction: generate reader-specific outputs such as memos, essays, whitepapers, social posts, presentations, and other requested formats.
- Privacy: source documents and generated outputs are stored in the user's browser workspace; Read-o-Matic remote infrastructure stores anonymized operational data.