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AI chat for research

AI chat for research that stays grounded in sources.

Synthesize papers, briefs, and live web evidence without juggling tabs—choose the model that fits synthesis, critique, or verification, and keep your materials attached to the thread. Full workspace access requires a Pro or Lifetime plan.

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Pro from $14.99/month · Lifetime $149.99 one-time

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  • 1Live web search
  • 2PDF attachments
  • 3Ultra Mode on Pro
Workspace preview
Compare these three papers on my PDF and flag where their conclusions conflict with current data.
Claude 5 Sonnet

I read your attachments and cross-checked recent sources. Here is a structured synthesis:

  1. 01Agreement vs. tension across the three studies
  2. 02Methods each author used—and what that limits
  3. 03Open questions worth a follow-up search

Ask anything

SearchLow

Research is iterative

Generic chat answers break down when evidence matters.

A summary without sources, or a single model’s blind spot, can waste hours before you notice the gap. Research workflows need verification built in.

  1. 01

    Stale or unsourced claims

    Models without search may sound confident on topics that changed months ago.

  2. 02

    Scattered materials

    PDFs in email, notes in Docs, and web tabs in the browser—context never stays together.

  3. 03

    One lens on hard questions

    Synthesis and critique benefit from different model strengths in the same project.

Research toolkit

Tools that match how you actually investigate.

From first read-through to structured synthesis—with your sources in the loop.

Live web search

Pull current publications, news, and reference pages into supported conversations.

Ground fast-moving topics in fresh evidence.

PDF and document context

Attach papers, reports, and briefs so answers reference your corpus.

Papers, reports, and briefs stay in context.

Deliberate reasoning

Increase reasoning depth when comparing methods or tracing logic chains.

For critique, not just summary.

Model choice per task

Use different families for synthesis, coding statistics, or plain-language explanation.

OpenAI, Anthropic, Google, xAI, and more.

Branch hypotheses

Explore competing interpretations from the same evidence base.

Keep the original reading path intact.

Quantitative support

Strict Math and visualization when a claim depends on formulas or curves.

For STEM-heavy reviews.

A research loop

Collect, compare, verify, draft.

One thread can carry you from intake to a defensible outline—if you keep sources visible.

  1. 01

    Attach what you have

    Upload PDFs, paste excerpts, or describe the question and scope.

  2. 02

    Enable the right tools

    Turn on live search for current topics; raise reasoning for methodological critique.

  3. 03

    Iterate with skepticism

    Ask for conflicts, limitations, and citations to verify—then branch alternate readings.

Scenarios

How researchers use milkyway.chat.

Literature synthesis

Map themes across these five papers and note gaps in the literature.

Attach PDFs → Live search → Deep reasoning

Outcome

Thematic matrix with explicit gaps and suggested next searches.

Claim verification

Is this statistic still accurate? Find the primary source.

Paste claim → Live search → Attach source PDF

Outcome

Verified or corrected claim with a link to the original context.

Methods critique

What assumptions in this study design could bias the result?

Attach paper → Reasoning model → Branch two critiques

Outcome

Structured limitations list with alternative interpretations.

FAQ

Research workflow questions

Can milkyway.chat replace a reference manager?

No. It helps you read, compare, and draft against attached sources—it does not organize your library or generate bibliographies automatically.

How should I handle citations?

Treat AI output as a draft. Verify every citation and statistic against the original source before publishing or submitting.

Is live search always on?

You enable it per conversation on supported models. Use it when timeliness matters; rely on attachments for stable corpora.

Can I use this for confidential research?

Follow your institution's data policies. You control uploads. See the Privacy Policy for how providers process content.

How much does milkyway.chat cost?

Pro is $14.99 per month and includes all premium models plus voice chat. Lifetime is $149.99 as a one-time payment and lets you bring your own API keys. Visit the pricing page for current plan details.

Can I try the workspace before subscribing?

Yes. You can explore interactive example chats without a subscription—including math visualization and a university-level linear programming walkthrough. After signing in, you can browse the workspace interface, but sending messages requires an active Pro or Lifetime plan.

Ready to get started

Run your next research pass in one grounded workspace.

Pick Pro or Lifetime on the pricing page, then start with the model and tools your task needs.

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