> ## 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.

# Why use Paperzilla

> Paperzilla is built for ongoing, high-signal paper monitoring rather than one-off paper search.

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/why-paperzilla" />

Paperzilla is useful when basic alerts are not enough.

## The core difference

Basic alert tools answer: "Does this match a keyword?"

Paperzilla answers: "Is this worth my attention for this project right now?"

## What this changes in practice

* You manage each topic as its own project
* You prioritize with Must Read and relevance scores
* You control delivery volume by project
* You can switch between fast feed and curated digest modes
* You can pipe the same project into app, RSS/Atom, CLI, and email

## When Paperzilla creates the most value

* High paper volume fields
* Teams with limited reading time
* Users balancing breadth and depth across topics
* Workflows where missing one important paper is costly

## Next steps

* Start with [quickstart](/quickstart)
* Set up your first [project](/guides/projects)
* Review [common use cases](/what-is-paperzilla/use-cases)