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All use cases

Researchers

Research that checks itself.

Triangulate models, scan literature with citations, and keep every source in your Drive.

Try nowSee pricing

What researchers actually run

Investigate a question across many sources and deliver a cited briefing.

What you need to know.

How far to go before writing.

Angles that cannot be skipped.

Your prompt

Research this properly, then write it up.

- Question: [your question]
- Depth: standard
- Must cover: [your must cover]

Plan the SEARCHES first, in the answer, as a short list of sub-questions. A
single query answers a single question; a research brief that came from one
search is a summary of one page.

Then, per sub-question: search, open the primary source rather than the article
about it, and record what it actually claims. Cite inline.

Write the briefing as: the answer in three sentences, then the evidence, then
what remains uncertain. The uncertainty section is not padding: a briefing that
never says "we could not establish this" is one the reader cannot calibrate.

Do not fill a gap with plausible prose. Where the sources disagree, show the
disagreement instead of averaging it away.
Use Deep researchOpens with everything above already filled in.

One model's confident answer can be confidently wrong.

Run the same question across frontier models side by side and cite what survives.

Sources scatter across downloads, tabs, and chat histories.

Every PDF lives in Drive folders any chat can reference, with citations linking back.

1

Collect the sources

Drop a folder of PDFs into Drive; every file becomes searchable context.

More about Drive
2

Ask with receipts

Web search answers with citations; run the same question across Claude and GPT before you cite.

More about Web Search
3

Fan out the reading

An orchestrator sends one subagent per paper and merges the findings.

More about Subagents

Everything researchers can run in one click

Research

  • Search the web
  • Ask multiple models
  • Compare two models
  • Deep research
  • Fact-check a claim

What this replaces

single-model chat subscriptionsseparate citation manager tabsmanual source foldersone-off summarizer tools

Built from these features

Multi-Model Chat

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

Web Search

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

Drive

Folders, previews, and lightweight versioning for AI work.

Subagents

Parallel subagents, isolated context, full observability.

Automations

Delegated runs with schedules, bounded execution, and full progress traces.

Memory

A durable, private memory every agent reads and updates as it works.

Frequently asked

Ready to work this way?

Try 200+ models free for 7 days, then pick the plan that fits. Cancel anytime.

Try now

Reading fifty papers serially takes a week.

Subagents read in parallel and merge findings into one summary you can audit.

4

Re-run it weekly

An automation reruns the benchmark on every new model release: wake up to the table.

More about Automations
  • Cite sources properly
  • Tear down a competitor
  • Research an account
  • Compare pages into a table
  • Find and compare options
  • Size a market
  • Validate an idea
  • Build a feature matrix
  • Synthesise user interviews
  • Write a diligence brief
  • Review the literature
  • Write an earnings note
  • Value a company
  • Measure share of voice
  • Vet a product niche
  • Plan a records request campaign
  • Prepare an executive briefing
  • Assemble a grant application
  • Run a reproducible analysis
  • Run a meta analysis
  • Build a conference kit
  • Files

    • Find it in Drive
    • Read this document
    • Organise a folder
    • Convert a file
    • Bind a folder into an ebook
    • Organise a pile of files

    See every skill