What is Dhanu

Dhanu gives your team one place to do work with AI. You open a task, describe what you need in plain language, and work through it with an assistant that can read your files, write documents, build spreadsheets and small apps, generate images and video, and hand parts of the job to other AI staff.

The shape of it

Most of what you do in Dhanu happens in one of four places.

Tasks are where work actually happens. A task is a conversation with an AI assistant that has your context — the files in scope, the instructions you have set, and the tools to make things. Anything the assistant produces stays attached to the task.

Projects group related tasks, files, and people behind one boundary. A client engagement, a product launch, a research thread. A project has its own description, its own standing instructions, its own member list, and its own assigned AI staff.

Brain is your team’s knowledge base. Pages link to each other with [[links]], search runs across everything, and you can turn uploaded files into pages.

Library is where files and folders live, either privately to you or shared with a team.

What the AI can make for you

Inside a task, the assistant can produce five kinds of thing, and each one stays attached to the task and keeps a version history:

• Canvas — documents you and the AI edit together, live, at the same time.
• Sheets — real spreadsheets with working formulas, not a table of text.
• Apps — small working tools built from a description, optionally with their own backend.
• Images — generated or edited, with the aspect ratio you choose.
• Video — short clips, including animating a still image you already made.

Where to go next

If you are brand new, read Create your workspace and then Invite your team. If you want the mental model first, start with Where things live — it is the concept people most often get wrong early on.

If you are here to build on the API, go to the Developer quickstart instead.