One question in. A cited report out.

Ask a real question and get back a structured, multi-section article — not a chat reply you have to stitch together. The AI plans the sub-questions it needs to answer first, then writes the whole thing.

Each section links back to where it came from, and the report ends with a numbered reference list. You get a deliverable you can stand behind, not an unsourced wall of text.

Research draws on live web results and any URLs or PDFs you add to the source set, so the report combines fresh findings with the material you already trust.

The report lands as a normal note in your workspace — edit it, add your own analysis, turn sections into flashcards, or chat with it to dig deeper. The research doesn't dead-end in a separate tool.

Here's what a research chatbot can't do: turn the finished report into a public, SEO-ready post, gate the deep version behind a paywall, and own the audience — all in the same workspace.

Keep your reports in one library, link them with the next thing you research, and build a body of work instead of throwing away every answer the moment you read it.

What does AI deep research actually produce?

A structured, multi-section report saved as a note: the AI breaks your question into sub-questions, researches each, and synthesizes a written article with inline source links and a numbered reference list at the end. You get a deliverable, not a single chat answer.

Where does it get its sources?

From live web search plus any URLs or PDFs you add to the source set. You can point it at the open web, at material you've already collected, or both — and every section links back to where its claims came from.

How is this different from a research chatbot?

A chatbot answers one prompt at a time and forgets. Deep research plans a sequence of sub-questions, gathers across multiple sources, and returns a cited, multi-section report you can edit, publish, and paywall — a working document instead of a disposable reply.

Can I edit and publish the report?

Yes. The report is a normal note in your workspace, so you can revise it, add your own analysis, turn it into flashcards, or publish it as an SEO-ready post and paywall the in-depth version — all without exporting to another app.

Is it free to try?

You can start for free — ask a question and generate a cited report without a credit card. Paid tiers cover heavier research use and paywalling your own published work.