> ## 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.

# In-app feed

> Use the in-app project feed to triage papers, filter the list, and teach Paperzilla what belongs in future recommendations.

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="/guides/feed-in-app" />

Each project has a live paper feed in the app.

This feed is designed for fast review:

* On desktop, you get a two-pane workspace with the paper list on the left and paper details on the right.
* On smaller screens, the list stays on the page and paper details open in a sheet.

## Open the feed

1. Go to the [Dashboard](https://paperzilla.ai/dashboard).
2. Open a project.

When you open a project, you land directly in its feed.

## Use the left-side controls

The left side is your triage area.

### Search

Use the search box to filter the list by:

* Paper title
* Author names
* Summary terms

### Feedback filters

Use the feedback pills to focus the list:

* **No feedback**: papers you have not rated yet
* **Useful**: papers that fit the project well
* **Very useful**: the strongest positive signal
* **Not for me**: papers that are not a fit for this project

You can combine search and feedback filters. Click an active filter again to clear it.

## Understand paper cards

The paper list is intentionally compact. Each row shows:

* Title and authors
* Source
* Relevance percentage
* Relevance class such as **Must read** or **Related**
* An optional feedback status icon in the top-right corner

## Open paper details

Click a paper in the list to inspect it in the detail pane.

The right side shows:

* Full title and authors
* Metadata
* Feedback controls
* Abstract
* Why the paper matched
* Optional project note
* **View on source**, **AI summary**, and **Share** actions
* **View PDF** when a PDF URL is available

For PubMed papers, **View on source** opens the PubMed record. Some PubMed records do not have a public PDF, so Paperzilla does not show a PDF action for those papers.

## Leave feedback

The feedback controls help you classify what belongs in the project feed.

* **Useful**: a good match that should help shape future recommendations
* **Very useful**: a standout paper you want Paperzilla to treat as a strong positive example
* **Not for me**: a poor fit for the project

If you choose **Not for me**, add a reason:

* **Off-topic**
* **Low quality**

If a paper no longer matches the active filter after you rate it, it may disappear from the left list. The detail pane stays open so you can finish the feedback action.

## Why feedback matters

Feedback is not just for organizing the current list. It helps Paperzilla improve what it recommends next for that project.

* Positive signals such as **Useful** and **Very useful** help reinforce the kinds of papers you want more often.
* Negative signals such as **Not for me** help reduce papers that are off-topic or low quality.
* The **No feedback** filter helps you work through fresh papers without losing track.

## Suggested workflow

1. Start with **No feedback**.
2. Search if you want to narrow the list by topic, author, or phrase.
3. Open papers one by one and read the right pane.
4. Mark each paper as **Useful**, **Very useful**, or **Not for me**.
5. Use **Very useful** to build a shortlist of the strongest papers.
6. Use **AI summary** or **Share** when you want to go deeper or send a paper to someone else.

## When the feed is empty

If a project is new or very narrow, you may see no papers yet.

Try:

1. Waiting for the next evaluation cycle.
2. Widening interest text slightly.
3. Removing overly strict exclude terms.
4. Enabling adjacent papers.