Describe your topic. Get a reading list. Ingest in one click.

Tell the AI your topic or research question. It searches the web, evaluates relevance, and returns a ranked list of candidate sources — each with a one-line rationale explaining why it belongs in your knowledge base.

Approve a suggested URL and the AI fetches the full page, cleans it, chunks it, and adds it to your Space's RAG knowledge base. The source is immediately available to chat with, cite from, and include in a deep-research report.

Unlike tools that only search Semantic Scholar or PubMed, JustJot's source finder covers any publicly accessible URL — industry reports, news articles, documentation, blog posts, white papers. Anything you can link, you can ingest.

Starting a research project from scratch is the hardest moment. Describe the topic once and get a reading list to begin with — so your first RAG session has real material instead of an empty knowledge base.

Once sources are ingested, run a deep-research report (question → multi-pass web + your library → cited article) or chat with the source set directly — asking follow-up questions and getting answers grounded in the exact passages.

Ingested sources are stored in your private workspace, not shared or used to train anything. You control what gets added, what gets removed, and who in your Space can access the material.

How does the AI find sources for my topic?

The AI uses your topic description to generate a set of targeted search queries, runs them through a web-search path, evaluates the top results for relevance and quality, and presents the shortlist with a one-sentence rationale per source. You decide which ones to ingest.

Can I use this for academic research?

Yes. For academic literature, describe your research question and the AI will surface relevant papers, review articles, and authoritative sources. You can also manually paste DOI links or PDF URLs to ingest specific papers you already know about.

What happens after I approve a source?

The AI fetches the full page, extracts the main text (stripping navigation and ads), splits it into overlapping chunks, and indexes it in your Space's vector store. From that point, the source is searchable via your Space's RAG chat, referenceable in deep-research reports, and citable in notes.

What types of sources can it ingest?

Any publicly accessible URL — web articles, blog posts, documentation pages, industry reports, white papers, and direct PDF links. Paywalled pages cannot be fetched. For PDFs you already have, upload them directly instead.

How is this different from tools like Elicit or Consensus?

Elicit and Consensus are specialized for academic papers on Semantic Scholar or PubMed. JustJot's source finder works across the entire open web — industry sources, journalism, documentation, and opinion — and ingests the content directly into a RAG knowledge base you can chat with, annotate, and publish from.

Is it free?

Yes — discover and ingest your first sources for free, no credit card needed. Paid tiers unlock larger source sets per Space, deeper web-search passes, and the ability to run source discovery automatically on a schedule (e.g., "every Monday, find new sources on this topic and add them to my Space").