> ## 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.

# Common use cases

> Practical ways teams and individuals use Paperzilla to track and prioritize scientific papers.

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/use-cases" />

## Daily field monitoring

Create a project for a field and review the [feed](/guides/feed-in-app) each day using the **Must Read** filter.

## Topic watchlists

Create separate projects for each major research direction, then tune keywords per project.

## Weekly executive or lab briefings

Use [email digests](/guides/email-digests) to deliver selected papers with a controlled max-paper limit.

## Method and benchmark tracking

Track specific methods, model families, datasets, or experimental paradigms via include/exclude keywords.

## Competitive and adjacent monitoring

Keep one broad "adjacent" project active to spot nearby work you would otherwise miss.

## Agent-assisted workflows

Use [CLI](/guides/cli) and [RSS/Atom](/guides/feeds) outputs in scripts, automations, and agent pipelines.

## Reading backlog triage

Use [project summaries](/guides/summaries) and relevance labels to decide what to read deeply versus skim.