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All use cases

Consultants & analysts

From sources to deliverable.

Sources in Drive, cited research, parallel reading, a deliverable that ships.

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Every engagement starts with a mountain of documents.

Drop the data room in Drive and fan reading out to subagents that merge findings with references.

A confident wrong number in a client deck is a disaster.

Triangulate the load-bearing claims across models and cite sources inline before anything ships.

Deliverables scatter across tools and versions.

Drafts live in Drive with version history; the workspace holds the whole engagement.

1

Load the engagement

Client documents land in a Drive folder; every chat and agent reads from the same set.

More about Drive
2

Research with citations

Web search answers with sources; internal documents are referenceable context in the same thread.

More about Web Search
3

Fan out the reading

One subagent per document; the orchestrator merges findings into a matrix you can audit.

More about Subagents
4

Ship the deliverable

Draft in Drive, verify the key claims across models, and share with exactly the right access.

More about Sharing

What this replaces

single-model chat subscriptionsmanual document review passesscattered engagement folders

Built from these features

Drive

Folders, previews, and lightweight versioning for AI work.

Web Search

Real-time info, cited sources, every model: no per-provider tax.

Subagents

Parallel subagents, isolated context, full observability.

Multi-Model Chat

GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.

Sharing

Public URLs for files, agents, and chats: granular, revocable.

Workspaces

Shared folders, agents, computers, and chats: one container.

Frequently asked

Ready to work this way?

Create a free account and start in seconds.

Try now
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