Projects & sources

The boundary that makes research defensible.

A project holds everything for one piece of work — what you gathered, what you made from it, and the strict limit on what the AI may read. That limit is the reason the output survives being questioned.

Crawl the web into a project

Point the Hub at a page or an entire site and it collects the documents and data behind it in seconds — work that would otherwise be an afternoon of saving PDFs. Then ask questions answered only from what you gathered, never the open web.

Bring your own material

Upload spreadsheets, documents and files. Preview and download them any time. The evidence for a piece of work stays with the work.

Context and skills

Give each project its own background context and reusable AI skills, so the assistant understands the domain and applies your method without being told twice.

A live dashboard

Each project opens on what you’ve gathered — documents, datasets, prototypes, crawls — and, once you’ve published, how the world is reading it.

Why the boundary matters. Two client engagements never share sources. An answer in one project cannot be drawn from material in another, which is what makes “where did this come from?” an answerable question.

Grounded question answering

Once material is in a project, you interrogate it directly. Ask what the sources say about a topic and the answer is assembled from those documents — with the retrieval itself recorded, so you can see exactly which sources were consulted to produce it.

That is the whole difference between a plausible answer and a sourced one, and it is the difference your client is actually paying for.

Project — grounded Q&A
What did the 2025 filings say about capacity?you
retriever6 documents consulted590ms
llmAnswer composed from project sources1.7s
Sources: annual-report-2025.pdf · capacity-tables.xlsx · 4 more

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