A private AI notebook for product managers
Journal Genie is a private AI notebook for product managers: bring your research, interviews, specs, and notes, and ask what the material actually says — every answer cited to its source. It never trains on your work, keeps it isolated per user, and exports in one click, so your product context stays yours.
Journal Genie is a private, source-grounded notebook for product managers that cites its answers, never trains on your research, and exports in one click.
A PM’s real asset is context: interviews, feedback, specs, competitive notes, half-finished decisions. It’s scattered across tools, and the tool that promises to synthesize it usually wants to learn from it.
Journal Genie synthesizes across the material you add, cites every point, and never trains on it — so the context you build stays your advantage, not a vendor’s.
Reason across your research
Add your user interviews, feedback notes, specs, and research as sources, then ask what themes recur, where users agree or conflict, and what a spec actually commits to. Every answer cites the exact passage, so a synthesis you present is one you can trace back to the evidence.
Private by default
User research is sensitive. Your material is isolated per user, encrypted in transit and at rest, never used to train AI, and never sold. Keep your own working thoughts in a journal that’s private by default until you opt an entry in.
A context that compounds
Interviews, notes, and surveys join into a durable personal context your AI reasons over across sessions — and one click exports the whole thing in plain markdown, so the product knowledge you build is yours to keep.
Honest limits
- Journal Genie reasons over the research you add, not the market at large — a cited synthesis still needs your product judgment.
- It’s a grounded reasoning and private-memory tool, not a roadmap, analytics, or ticketing product.
Questions, answered first.
Can it synthesize my user research privately?
Yes. Add your interviews, feedback, and notes as sources and ask what themes recur or where users conflict. Each answer cites the exact passage, and your research is never used to train AI.
Is my user research used to train AI?
No. Your research is never used to train AI, never sold, and isolated per user with encryption in transit and at rest. You can export or delete it yourself.
Can I export what I build?
Yes. One click exports your notebooks, notes, and surveys in plain markdown, so the product context you build is yours to keep and to leave with.
Related, and the proof behind it.
Synthesize your research, cited.
Add a few interviews and ask what themes recur — grounded, private, and yours to export. Free to start.