> ## Documentation Index
> Fetch the complete documentation index at: https://docs.paperzilla.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How Paperzilla works

> Paperzilla turns your research intent into project feeds and digest delivery across app, RSS/Atom, CLI, and email.

export const AiAgents = ({path}) => <Tip>
    <b>AI agents</b>: This page is available as <a href={path + '.md'}>markdown</a>. See also the <a href="/llms.txt">docs index</a> and <a href="/llms-full.txt">full docs</a>.
  </Tip>;

<AiAgents path="/what-is-paperzilla/how-it-works" />

## 1) Define your project

You provide:

* Categories
* Interest description
* Include keywords
* Exclude keywords

This defines your research intent.

## 2) Paperzilla evaluates new papers

As new papers arrive, Paperzilla evaluates them against your project and assigns relevance classes.

In-app filters expose this as:

* **Must Read**
* **All** (Must Read + Related)

## 3) You consume results where you work

For each project, you can consume results through:

* [In-app feed](/guides/feed-in-app)
* [RSS/Atom URL](/guides/feeds)
* [CLI (`pz`)](/guides/cli)
* [Email digests](/guides/email-digests)

## 4) You refine signal quality over time

You improve relevance by updating:

* Interest text
* Include/exclude keywords
* Adjacent papers toggle
* Max papers per email
* Pause/resume state

## Fast discovery and curated briefing

Paperzilla supports two rhythms:

* **Fast**: in-app feed for immediate discovery
* **Curated**: email digests for controlled review