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AI Assistant for Researchers

Sound familiar?

These are the daily frustrations that drain your energy and steal your time.

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Literature review never ends

Every paper cites ten more. Every search returns hundreds of results. You have 47 tabs open and a reading backlog measured in months. Staying current in your field feels impossible.

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Can't remember what you've read

You read that paper six months ago. It had something relevant to your current work. But which paper was it? What did it say exactly? Your notes are scattered across PDFs, docs, and sticky notes.

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Citation management is tedious

Format for this journal. Reformat for that one. Track down the DOI. Fix the author names. Citation management should be solved by now, but you still spend hours on reference lists.

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Grant writing consumes everything

Deadlines loom. You need to synthesize background, articulate significance, and make a compelling case — while also running experiments and teaching. Grant season means everything else stops.

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Synthesis across sources is hard

You've read 50 papers on this topic. Now you need to write a coherent literature review that identifies themes, gaps, and your contribution. The mental load of holding it all together is exhausting.

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Collaboration across time zones

Your co-author is in Germany. Another is in Japan. Coordinating edits, tracking changes, and keeping everyone aligned on a shared document is a project management nightmare.

With an AI assistant, you can...

Transform how you work. Here's what becomes possible.

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Paper summaries on demand

Send your AI a paper (PDF or link) and get a structured summary: research question, methods, key findings, limitations, and relevance to your work. Read 10 papers in the time it used to take to read 2.

Example:

'Summarize this paper and tell me if it's relevant to my work on neural plasticity.' AI: 'This paper (Smith et al., 2024) examines synaptic remodeling in adult mice using two-photon imaging. Key finding: plasticity rates decline 40% after 6 months. Relevant to your work: their methodology for measuring spine turnover could apply to your human imaging protocol.'

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Search your reading history

Ask your AI what you've read about a topic and it searches your notes, highlights, and summaries. Find that paper from six months ago in seconds.

Example:

'What papers have I read about CRISPR delivery mechanisms?' AI: 'You've read 12 papers on this topic. Most relevant: Chen 2023 (lipid nanoparticles, you noted high efficiency), Park 2024 (viral vectors, you flagged safety concerns), and Williams 2023 (direct injection, you marked as potential method).'

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Literature synthesis assistance

Tell your AI you need to write a literature review section on X. It pulls from papers you've read, identifies themes and contradictions, and helps you draft a coherent narrative.

Example:

'Help me outline the background section on machine learning in drug discovery.' AI: 'Based on 23 papers you've read, I see three main themes: (1) molecular property prediction, (2) generative models for novel compounds, (3) clinical trial optimization. Key gap in literature: few studies address... Want me to draft an outline?'

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Citation formatting handled

Tell your AI which citation style you need. It formats your references correctly and can reformat when you switch journals. No more manual bibliography editing.

Example:

'Convert my references to Nature style.' AI: 'Done. 47 references reformatted. I noticed 3 were missing DOIs — I found and added them. One reference had an author name discrepancy; flagged for your review.'

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Grant writing support

Your AI can help structure specific aims, draft background sections from your literature notes, and ensure you're hitting all the required components. It's like having a writing partner who knows your field.

Example:

'Draft the significance section for my R01 on neural interfaces.' AI: 'Based on your notes and the papers you've highlighted, here's a draft emphasizing the clinical need, current limitations of existing approaches, and how your innovation addresses the gap. 487 words, ready for your editing.'

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Never lose a reference again

Every paper you read, every note you take, every citation you save — searchable and connected. Your AI becomes your external research brain.

Real use cases

Practical ways to put your AI assistant to work right away.

Literature Review Pipeline

Process papers efficiently without losing insights

→Send papers to your AI as you find them
→Get structured summaries automatically
→Add your own notes and relevance tags
→Query across all papers when writing
→Never re-read a paper you've already processed

Writing Support

Draft sections with your literature at your fingertips

→Tell AI what section you're writing
→It pulls relevant papers from your library
→Suggests structure and key points to cover
→Helps draft with proper citations
→You edit for your voice and expertise

Research Knowledge Base

Build a searchable memory of everything you've learned

→Papers, notes, and insights stored together
→Ask questions about your past reading
→Find connections across different projects
→Track how your thinking evolves
→Onboard new collaborators quickly

A day in the life

Here's how an AI assistant transforms a researcher's typical day:

8:00 AM

Morning: 5 new papers from your RSS feeds overnight. AI provides one-paragraph summaries. You flag 2 as relevant, skip 3. Took 10 minutes instead of an hour.

10:00 AM

Writing literature review. 'What have I read about protein folding prediction methods?' AI surfaces 15 papers with your notes and highlights. Draft outline in 20 minutes.

12:00 PM

Colleague sends a paper: 'Is this relevant to your grant?' You forward to AI. 'Moderately relevant. Their approach to data augmentation could strengthen your methods section. Key figure is Figure 3.'

2:00 PM

Grant deadline next week. 'Draft the innovation section based on our preliminary data and the gap I identified in the Chen paper.' AI produces first draft for your editing.

4:00 PM

Preparing references: 'Convert to Cell format and check for any missing information.' Done in 2 minutes. 3 issues flagged for your review.

6:00 PM

Quick search: 'Did I read anything about off-target effects in CRISPR screens?' AI: 'Yes, two papers. You noted concerns about the Hart 2024 methodology. Here are your highlights.'

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“I used to spend half my time just trying to remember what I'd read. Now I process papers in minutes and can actually find my notes when I need them. My last literature review took half the time it usually does.”

Dr. Sarah Chen

Assistant Professor, Neuroscience

Frequently asked questions

Common questions from researchers like you.

Can it access papers behind paywalls?

It works with papers you have access to. Send PDFs directly, or if you have institutional access, it can often retrieve papers you're authorized to read. It won't circumvent paywalls.

Does it integrate with Zotero/Mendeley?

It can import from and export to common reference managers. Your existing library can be synced so the AI knows what you've collected.

How accurate are the summaries?

AI summaries are good for initial triage but shouldn't replace reading important papers carefully. Use summaries to decide what deserves deep reading, then read those yourself.

Can it help with peer review?

Yes. It can help you structure review comments, check if authors cited relevant work you know about, and draft responses to reviewer comments on your own papers.