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Read clearly. Check the source.

Understand the page. Keep the evidence in view.

Llamar turns the page you are reading into a clear summary that stays linked to its source. It helps you follow related ideas and connections without hiding where the information came from.

Chrome extension in private preview

A llama looking through a wooden fence
Look past the surface. Keep the source.
Source visiblePrivate analysis stays privateBuilt to recover

Start with one page. Explore the wider context.

A reading companion—not a chatbot that hides its sources.

Open the Chrome side panel on a supported page. Llamar reads a limited, relevant part of the page, checks whether a result already exists for that version, and only then starts new AI work.

The first release focuses on dependable page summaries and a carefully limited public reader. Search, related pages, and graph exploration come later, when their sources, privacy, and quality are clear.

Trust starts with how the data is handled

Useful results that show their limits.

01

Public pages must match their source

A request from the browser never publishes a page by itself. Before anything becomes public, the server fetches the public source separately, confirms that the content matches, and applies publication rules.

02

Sources stay visible

Summaries and related pages keep a clear link to the original material. Llamar labels AI-generated text so it is not mistaken for words from the source.

03

Work can recover

Longer AI analysis is saved as a recoverable task. Closing the panel or losing a connection does not erase work the service has accepted, and the browser does not need to stay open.

Chrome extension

Understand the page you are reading

Llamar reads a limited, relevant part of the active page, adapts when you navigate, and shows results in a Chrome side panel. If the connection drops, accepted work can resume.

Private preview

Public summaries

Browse pages that are safe to share

A focused public view for summaries whose source has been checked separately. Search and graph exploration arrive when their privacy and quality safeguards are ready.

Explore public summaries

Building in public

See the choices and trade-offs

Notes on how pages are matched, how AI work continues safely, how private material stays private, and why some ideas did not survive review.

Read the development journal

A focused beginning

Summaries come first. The knowledge graph has to earn its place.

Public search is not ready yet. The application shows only the pages and features that are genuinely available instead of filling gaps with invented results.

Open public summaries