AI app for healthcare · no coding needed
Voice journal to structured health insight library
Turn spoken reflections into an organized, searchable library while keeping the client in control of their data.
Made for: Clinicians, therapists and care teams supporting clients who journal by voice
What it does for you
The problem
Spoken reflections stay as unstructured audio and cannot be reviewed, searched or prepared for care sessions.
What it gives you
Reviewed, searchable insight library linked to source entries
What you give it
Consented voice entriestranscriptsemotion signalscategory rules
Build your own version of Friday, Sentari and more
One app with what these 3 AI tools do, yours to keep and change: Friday, Sentari, AudioJot.
Everything these tools do, in one app
- Voice-first journaling Lets users speak their reflections instead of typing them.Found in Friday, Sentari, AudioJot
- Automatic transcription Converts spoken entries into text without manual effort.Found in Friday, AudioJot
- Structured journal entries Organizes spoken responses into readable journal entries.Found in Friday
- Emotion detection Analyzes voice inputs to detect tone and emotions.Found in Sentari
- Emotional pattern tracking Highlights recurring emotional patterns over time.Found in Sentari
- Personal memory graph Creates a visual map of emotional patterns from entries.Found in Sentari
- Conversation memory Remembers prior conversations so the AI can reference earlier context.Found in Friday
- Proactive daily prompts Initiates daily voice calls to prompt reflection sessions.Found in Friday
- Guided questions Asks focused questions to keep sessions brief and on track.Found in Friday
- Free-form spoken entries Allows uninterrupted, unprompted spoken journaling.Found in Sentari
- Text input option Lets users type entries as an alternative to speaking.Found in AudioJot
- Automatic summaries Generates concise summaries of entries.Found in AudioJot
- Auto-organized insight categories Sorts entries into categories like Joy Log, Action Items, Therapy Prep, and Creative Ideas.Found in AudioJot
- Custom categories Allows users to create their own insight categories.Found in AudioJot
- Task mode Keeps actionable todos separate from journal entries.Found in AudioJot
- Manual folders Lets users organize entries into folders.Found in AudioJot
- Quick export Provides options to export entries.Found in AudioJot
- Privacy-oriented storage Deletes raw audio after 2 days and uses trusted AI providers without identifiers.Found in AudioJot
- Multilingual support Supports five languages: English, German, French, Spanish, and Portuguese.Found in AudioJot
- Web-based platform Accessible via web browser.Found in Sentari
- Upcoming iOS app Mobile app for iOS is in development.Found in Sentari
- Simple interface Clean, uncluttered design focused on one core use case.Found in Friday
How it works, step by step
- Capture voice-first journal entries
- Transcribe spoken entries automatically
- Structure transcripts into readable journal entries
- Detect tone and emotion from voice and text
- Track recurring emotional patterns over time
- Build a personal memory graph of emotional patterns
- Retain conversation memory across prior entries
- Send proactive daily prompts for reflection sessions
- Ask guided questions to keep sessions brief
- Support free-form uninterrupted spoken entries
- Accept typed entries as an alternative
- Generate concise entry summaries
- Sort entries into insight categories such as Joy Log, Action Items, Therapy Prep and Creative Ideas
- Allow custom categories
- Keep actionable todos in a separate task mode
- Support manual folders
- Provide quick export options
- Delete raw audio after a short retention window and use trusted providers without identifiers
- Support English, German, French, Spanish and Portuguese
- Run in a web browser
- Provide a simple, uncluttered interface focused on one core use case
- Compare the reviewed library against the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, searchable insight library linked to source entries with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Voice journal to structured health insight library with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Voice journal to structured health insight library with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Turn spoken reflections into an organized, searchable library while keeping the client in control of their data. For clinicians, therapists and care teams supporting clients who journal by voice, convert consented voice entries, transcripts, emotion signals and category rules into a reviewed, searchable insight library linked to source entries. The benefit is a testable hypothesis, measured through reviewed entries per clinician hour and retrieval accuracy on held-out queries; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect consented voice entries, transcripts, emotion signals and category rules, then follow this sequence: 1. Capture voice-first journal entries. 2. Transcribe spoken entries automatically. 3. Structure transcripts into readable journal entries. 4. Detect tone and emotion from voice and text. 5. Track recurring emotional patterns over time. 6. Build a personal memory graph of emotional patterns. 7. Retain conversation memory across prior entries. 8. Send proactive daily prompts for reflection sessions. 9. Ask guided questions to keep sessions brief. 10. Support free-form uninterrupted spoken entries. 11. Accept typed entries as an alternative. 12. Generate concise entry summaries. 13. Sort entries into insight categories. 14. Allow custom categories. 15. Keep actionable todos in a separate task mode. 16. Support manual folders. 17. Provide quick export options. 18. Delete raw audio after a short retention window and use trusted providers without identifiers. 19. Support five languages. 20. Run in a web browser. 21. Provide a simple, uncluttered interface. Resolve uncertain cases with qualified reviewers, approve reviewed, searchable insight library linked to source entries, and measure reviewed entries per clinician hour and retrieval accuracy on held-out queries against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final clinical interpretation and care decisions remain with qualified professionals. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve client voice, source attribution, quotation accuracy and usage permissions. Clients approve substantive changes and sharing scope. One care setting and one language set; final clinical interpretation and care decisions remain with qualified professionals. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One care setting and one language set; final clinical interpretation and care decisions remain with qualified professionals. Implement one approved input format, a bounded representative case set and the first two task modules: capture voice-first journal entries; transcribe spoken entries automatically. Support the remaining modules with operator review: structure transcripts, detect emotion, track patterns, build memory graph, retain conversation memory, send prompts, ask guided questions, support free-form and typed entries, generate summaries, sort categories, allow custom categories, separate tasks, support folders, export, apply retention rules, support five languages, run in browser and provide a simple interface. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Client-owned voice recordings, consented transcripts and permitted care notes. Cloud storage, calendar or scheduling tools and export destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Consent and capture setup, Editable entry library, Client review and export. Use a searchable list of entries with filters by date, category and emotion, a large central reading pane, and a right-hand panel for source audio, transcript, categories and comments. Let users compare transcript and summary versions side by side. Display draft, client-reviewed and clinician-approved states. Provide a client preview link with comments anchored to the relevant entry. Make the task-specific outcome reviewed, searchable insight library linked to source entries visible beside its evidence, review state and value baseline.
