AI agent for consultants
Ask your notes. Get an answer.
Ask an engagement folder a question in plain language and get the answer with the note it came from, so the week synthesis is due 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.
Ask a whole folder at once
Point it at a project and it reads every note in there before it answers.
Keep the answer as a note
The plan it just wrote lands in the folder you name, ready to work from.
The model is your call
Grape AI on Pro, or your own key for OpenAI, Anthropic, Google, Ollama and more.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for consultants.
Interviews become findings the same day
Record, transcribe, then ask what came up across the whole engagement folder.
Switch clients without losing the thread
One folder per engagement and search that works across all of them when you need a precedent.
Reuse what you learned last time
Ask your archive how you handled a similar problem two years ago.
In practice
What that looks like for consultants
A few moments in a normal week where the app earns its place.
Discovery week
Record every interview into the client folder and let search find the patterns.
Synthesis
Ask for the themes, check the quotes, and draft the findings in the same note.
Between engagements
Search old work for the framework you built and adapt it.
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.
Memory
The agent remembers what you tell it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Web clipper
Save any page from Chrome into a note
Open
Share to Grape
A page from the share sheet becomes a note
Open
Flashcards
Decks built from the notes you wrote
Open
Not for rewriting your notes.
Client interviews, site visits, findings and drafts in one library, so the deliverable comes out of the work you already did instead of a blank page.