Research AI Assistant
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Research AI Assistant
Turn scattered notes into insight with a research ai assistant that summarizes, organizes, and plans your research in Evernote
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248M
Registered Users
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2M
Notes Created Daily
Frequently Asked Questions
The Research AI Assistant is an Evernote-powered tool that helps you summarize documents, extract findings, and turn notes into structured research outputs. It reads your Evernote notes and produces synthesized summaries, suggested action items, and plans based on the content you provide.
It can scan multiple notes and PDFs stored in Evernote, extract key quotes, methods, and effect sizes, and produce annotated bibliographies and synthesis paragraphs. You can ask it to create a comparison of methods, highlight gaps, or prepare a draft literature review for editing.
Yes. Ask the assistant to "Summarize this" or request a specific length and format (e.g., three bullets, 200-word abstract). It will condense long notes or combined materials into concise takeaways you can paste into briefings or share with collaborators.
Yes. From your notes it can propose phased timelines, milestones, metrics, and stakeholder assignments. It uses the content you provide to build realistic plans, with suggested owners, deadlines, and risk mitigations that you can edit and adopt into Evernote project notebooks.
Absolutely. The assistant can convert lecture notes, readings, or research summaries into flashcards, short-answer prompts, or multiple-choice questions for study. You can set difficulty levels or focus on particular sections to tailor study sessions.
Yes. Provide multiple study notes or source materials and ask the assistant to compare methodologies, sample sizes, metrics, and findings. It will produce a side-by-side style comparison in prose or a bulleted list highlighting strengths, weaknesses, and open questions.
You can. The assistant can extract or generate action items from meeting notes, research plans, or project documents, assigning owners, suggested deadlines, and priority levels. These can be exported back into Evernote as checklists or tasks.
Yes. The assistant is designed to work with long, detailed notes and collections of documents within Evernote. For very large datasets or proprietary files, it recommends breaking material into sections or pointing to key excerpts to ensure focused, accurate outputs.
Outputs from the assistant can be copied back into Evernote notes, exported as text, or adapted into templates you already use. That makes it easy to integrate summaries, plans, or question sets into reports and shared notebooks.
The assistant can include inline citations and a simple reference list drawn from the materials in your notes. It uses the bibliographic information available in your Evernote content and can format references in common styles on request, though you should verify exact formatting before publication.
Yes. If your notes include numerical results, the assistant can extract reported statistics, compute simple derived metrics (e.g., effect sizes), and summarize findings. For complex meta-analytic calculations you can request stepwise scripts or guidance while preserving your original data files.
Yes. Provide the notes or select sections and ask for a slide outline or speaker notes. The assistant will propose slide headings, bullet points, and talking points that you can paste into your presentation software and refine.
The assistant works directly within Evernote to read notes, compile summaries, and update notebooks. It can reference tags, link related notes, and produce new notes with structured outputs such as plans, summaries, or templates for your team to use.
The assistant works best with clear, well-organized source notes. If source material is inconsistent or incomplete, outputs may require review and editing. It is a productivity aid: you should validate technical claims, verify numerical calculations, and approve any owner or deadline recommendations before committing them.