A private AI notebook for developers
Journal Genie is a private AI notebook for developers: bring the docs, RFCs, and specs you’re working against and ask questions that cite the exact passage — so you answer from your project’s real material, not a model’s guess. Your sources are isolated per user, never used to train AI, and exportable in one click.
Journal Genie is a private, source-grounded notebook for developers that cites the exact passage behind every answer and never trains on your docs or specs.
The hard part of a big codebase or system isn’t writing lines — it’s holding the context: the RFCs, the API docs, the design notes, the decisions buried in a thread. A general chatbot will happily guess about your internal system; that’s the last thing you want.
Journal Genie answers only from the documents you give it, and cites them — so it reasons about your project, not a plausible average of every project.
Answer from your project’s docs
Add your specs, RFCs, API docs, and design notes as sources, then ask what a document actually says or where two of them disagree. Every claim cites the exact passage, so an answer about your system is checkable — and when your docs don’t cover something, Journal Genie says so instead of inventing an interface.
Keep internal docs private
Proprietary docs shouldn’t become someone’s training data. Your sources are isolated per user with row-level security, encrypted in transit and at rest, never used to train AI, and never sold — the posture internal material deserves.
Yours to export
One click exports your notebooks, notes, and citations in plain markdown, so nothing about a project is trapped in a vendor. Take it with you or delete it whenever you like.
What it is (and isn’t)
- Journal Genie is a grounded notebook over the documents you add — not an IDE, a code-execution sandbox, or a replacement for reading the code.
- Answers are cited to your sources, which is not a guarantee the source itself is current or correct. Reading the cited passage is still your call.
Questions, answered first.
Can I ask questions about my project’s docs privately?
Yes. Add your specs, RFCs, and API docs as sources and ask grounded questions. Each answer cites the exact passage, and your documents are isolated per user and never used to train AI.
Are my internal docs used to train AI?
No. Your sources are never used to train AI, never sold, and isolated per user with row-level security and encryption in transit and at rest. You can export or delete them yourself.
Does it run or execute code?
No. Journal Genie is a source-grounded notebook that reasons over the documents you add and cites them. It isn’t an IDE or a code-execution environment.
Related, and the proof behind it.
Answer from your own docs.
Add a spec or an RFC and ask what it actually says — cited, private, and yours to export. Free to start.