Ask your library: get answers from your own saves, with citations

Search has a ceiling. Even good search hands you back a document — now go read it and find the part you meant. What you usually wanted was the answer: the specific thing the video said, pulled out and handed to you. That is what asking your library does.

You type a question the way you would ask a well-read friend, and Recl answers from the things you have saved — then tells you which saves it used.

An example

Suppose you have saved a few videos and articles about memory over the past month. You ask:

Recl answers:

Notice what you did not have to do: open two articles, skim for the relevant paragraph, and stitch them together yourself. You got the synthesis, with the receipts attached.

The citations are the point

Anyone can build a chatbot that sounds confident. The question that matters is: can you trust it? Recl's answer always names the saves it came from, so you are never asked to take a claim on faith — one tap takes you to the source to check the exact wording. The citation is not decoration; it is the difference between an answer you can act on and a plausible guess you have to re-verify anyway.

It only knows your library — on purpose

This is the boundary that makes it useful. Ask Recl something you never saved and it will not quietly answer from the open internet and dress it up as yours — it tells you there is nothing in your library on that yet. That restraint is a feature. It means every answer is grounded in material you chose to trust and keep, not in whatever a general model absorbed. Your library stays a closed, reliable source you built on purpose.

Or ask a single save

The same thing works at the level of one item. Open a save and you can ask about just that video or article — "what are the key points?", "explain this part simply", "what should I remember from this?" — and get an answer grounded in that one source. It is the fastest way to interrogate a long video without scrubbing through it.

Good questions to start with

• "Summarize my recent saves." — a quick recap of what you have been taking in.
• "What are the main topics in my saves?" — the shape of your own library.
• "Which save should I revisit today?" — a nudge toward the thing worth a second look.
• "What did I save about [a subject]?" — the everyday one, the reason the feature exists.

Each of these answers from your library and shows its sources. The more you save, the more there is to ask — which is the quiet flywheel of the whole product: saving makes the summaries, the summaries make the recall, and the whole library becomes something you can hold a conversation with.