Adaptive quizzes for developers
Find the gaps before somebody else does.
A quiz written from a pile of runbooks and notes shows the difference between having read something and knowing it. Useful at midnight when something breaks, and more useful the week before that.
Questions generated from the note in front of you
The difficulty follows how you are actually doing
See which topics you keep getting wrong
Works on the phone, so waiting anywhere becomes practice
Reading is not knowing
A quiz shows you the difference in about two minutes.
Targets the weak spots
Answers you miss come back around, the ones you know do not.
One note, one quiz
No question bank to build and no separate app to keep in sync.
Ten questions, not a hundred
Short enough to run before a lecture, long enough to tell you something.
Practice in a queue
The quiz is on your phone, so five spare minutes becomes revision.
Straight back to the note
Every question points at the line it came from, so you can go and reread it.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for developers.
Stop solving the same bug twice
Describe the symptom in search and get the note where you already worked it out.
Keep decisions where you can defend them
Ask what you decided about a service and get the note, the date and the reasoning.
Point the AI at your own stack
Bring your own key, or run a local model through Ollama, and keep the workspace on disk.
In practice
What that looks like for developers
A few moments in a normal week where the app earns its place.
Debugging
Write the symptom, the theory and the fix in one note, with the log you kept attached.
Architecture review
Record the conversation and keep the decision log next to the diagram.
New project
Keep the setup steps in a runbook that actually gets found again.
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.
AI Agent
Chat that reads your library and can act on it
Open
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
Find it next time it breaks.
Runbooks, architecture decisions and the fix you worked out at midnight, in a local library you can search by meaning and keep offline.