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Live web search
Pull current publications, news, and reference pages into supported conversations.
Ground fast-moving topics in fresh evidence.
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.
Pro from $14.99/month · Lifetime $149.99 one-time
View live demo- 01Live web search
- 02PDF attachments
- 03Ultra 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:
- 01Agreement vs. tension across the three studies
- 02Methods each author used—and what that limits
- 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.
- 01
Stale or unsourced claims
Models without search may sound confident on topics that changed months ago.
- 02
Scattered materials
PDFs in email, notes in Docs, and web tabs in the browser—context never stays together.
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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.
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PDF and document context
Attach papers, reports, and briefs so answers reference your corpus.
Papers, reports, and briefs stay in context.
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Deliberate reasoning
Increase reasoning depth when comparing methods or tracing logic chains.
For critique, not just summary.
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Model choice per task
Use different families for synthesis, coding statistics, or plain-language explanation.
OpenAI, Anthropic, Google, xAI, and more.
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Branch hypotheses
Explore competing interpretations from the same evidence base.
Keep the original reading path intact.
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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.
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Attach what you have
Upload PDFs, paste excerpts, or describe the question and scope.
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Enable the right tools
Turn on live search for current topics; raise reasoning for methodological critique.
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Iterate with skepticism
Ask for conflicts, limitations, and citations to verify—then branch alternate readings.
Scenarios
How researchers use milkyway.chat.
01
Literature synthesis
“Map themes across these five papers and note gaps in the literature.”
Attach PDFsLive searchDeep reasoning
OutcomeThematic matrix with explicit gaps and suggested next searches.
02
Claim verification
“Is this statistic still accurate? Find the primary source.”
Paste claimLive searchAttach source PDF
OutcomeVerified or corrected claim with a link to the original context.
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Methods critique
“What assumptions in this study design could bias the result?”
Attach paperReasoning modelBranch two critiques
OutcomeStructured 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 the interactive math visualization example without a subscription. 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.