AI agent for researchers
Ask your notes. Get an answer.
Ask a literature review a question in plain language and get the answer with the note it came from, so in the middle of writing up you are reading your own words instead of hunting for them. The agent can file, tag and tidy while it is in there.
Every answer points back to the note it came from, so you can check it
It can create, edit, move, tag and delete notes when you ask it to
Built in Grape AI on Pro, or plug in your own API key
Ask about one note, one folder or the whole library
Summaries from your own words
A week of meeting notes becomes three bullet points you can send on.
Tidying stops being your job
Ask it to file the loose notes into folders and add the tags you already use.
Web search in the same chat
When the answer is not in your notes, it can look it up and write it in.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for researchers.
Stop rereading papers you already annotated
Ask what your notes say about a method and get the answer with the note it came from, ready to cite.
Turn interviews into text the same day
Record the session, get a transcript in the note, and code it while it is still fresh.
See how the threads connect
Link notes to each other and use the graph view to spot the argument forming across a year of reading.
In practice
What that looks like for researchers
A few moments in a normal week where the app earns its place.
Reading a new paper
Drop the PDF into a note, write alongside it, and tag it into the theme it belongs to.
Fieldwork day
Record on the phone, add photos, and let it all sync back to the desk copy.
Writing up
Ask for every note that touches a concept, then pull the quotes into the draft.
The rest of the app
What Else Grape Does
Every part of the app is built around the same idea: keep what you write, and hand it back when you need it.
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Flashcards
Decks built from the notes you wrote
Open
Quizzes
Test yourself before it counts
Open
Mind maps
One note laid out as a map
Open
Graph view
How your whole library connects
Open
Ask what you already read.
Papers, interviews, field notes and half formed arguments in one local library you can question in plain language, months after you filed them.