> ## 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.

# Who Paperzilla is for

> Paperzilla is useful for researchers, technical teams, and AI-forward workflows that need high-signal paper monitoring.

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/who-its-for" />

Paperzilla is useful if you need continuous awareness of new papers in one or more topics.

## Primary users

* Individual researchers tracking fast-moving fields
* Research engineers and applied ML teams
* Bioinformatics and computational science practitioners
* Technical founders and R\&D teams
* AI-forward users who automate research monitoring

## When Paperzilla is a strong fit

Paperzilla is a strong fit when you:

* Need to track multiple evolving topics
* Want both quick scanning and curated delivery
* Prefer project-level control over generic keyword alerts
* Want structured outputs for tools and scripts

## Human and agent workflows

Paperzilla supports both:

* **Human workflows** through app feed and email digests
* **Programmatic workflows** through [CLI](/guides/cli) and [RSS/Atom feeds](/guides/feeds)

## Who may not need it

If you only need occasional one-off paper lookup, a simple search engine may be enough.

Paperzilla is designed for ongoing monitoring, prioritization, and workflow integration.