Workbranch › Use cases

The AI workspace for researchers and analysts

Exploring a topic with AI means dozens of questions, branches and side-tracks. Workbranch keeps your research organized by topic, your key findings highlighted, and every side question in its own thread so the main line of inquiry stays clear.

Updated October 2026

Research doesn't happen in a straight line

You ask a broad question, the answer raises three more, and one of those leads somewhere unexpected. In a normal chat app every branch piles onto the same thread. Within an hour the original question and its most useful answers are buried.

How researchers use Workbranch

A project per topic or study

Keep each research question in its own project, with folders like Literature, Methods, Analysis and Writing.

Threads for every side question

When one point in an answer deserves a deeper look, open a thread on it. Follow the tangent as far as you like, then come back to the main chat exactly where you left it. Resolve the thread when you have your answer.

Highlights as a findings log

Use highlight colors as a simple system: green for verified, yellow for "check this", pink for contradictions. Search across highlights when you start writing.

Verification as a checklist

Every claim in an AI answer is a point you can tick off once you've checked it against a primary source. You always know what's confirmed and what isn't.

Example: exploring a new topic

1. Ask for an overview of the topic and the main open questions, in a new project.
2. Open threads on the two points you want to explore further.
3. Highlight claims to verify in yellow, then switch them to green once confirmed.
4. Tick off each point as you check it against sources.
5. Flag the chat with your draft deadline so the write-up happens on time.

Folders researchers use

Frequently asked questions