For researchers

The AI workspace for researchers: long-context reading plus cited writing

Whizi for researchers: upload long PDFs to Gemini, draft lit reviews in Claude, and get structured data back from GPT, all in one workspace.

The AI workspace for researchers: long-context reading plus cited writing

Three researcher workflows Whizi accelerates

  1. Literature review. Upload 10–20 papers to Gemini 3 Pro and ask for a structured synthesis. Switch to Claude to draft the actual review paragraphs.
  1. Cited summary. Use a web-aware model to pull recent citations; keep the source list inline.
  1. Data extraction. Use GPT to pull every statistic or table into a clean JSON.

Why one workspace matters for research

Research is the canonical example of a job that benefits from model diversity. You need a long-context model for reading, a careful model for writing, and a structured model for data. Whizi gives you all three without switching tools or breaking context.

Workflow checklist

  • Upload the 10 most important papers for your current project
  • Ask Gemini for a synthesis and a gap analysis
  • Draft the literature review in Claude
  • Use GPT to extract the stats table

Common questions

Can Whizi handle very long papers?

Yes. Gemini 3 Pro in Whizi supports the largest context of any commercial model.

Does Whizi cite sources?

When using web-aware models, yes. Always verify citations before publication.