AI app for healthcare · no coding needed
Guided emotional wellbeing practice platform
Reduce the number of separate wellbeing subscriptions while keeping one reviewed record of participant progress.
Made for: Clinic, employer and education teams delivering structured emotional wellbeing programmes
What it does for you
The problem
Wellbeing support is split across several subscriptions, so participants track moods, journal, practise and review progress in disconnected tools with no shared record or duty-of-care oversight.
What it gives you
Facilitator-reviewed wellbeing practice record linked to each participant's plan
What you give it
Permitted participant inputsmood logsjournal entriessession notesconsented physiological readings
Build your own version of Clearmind, Calmtopia and more
One app with what these 8 AI tools do, yours to keep and change: Clearmind, Calmtopia, Earkick, Deepen, SereneAI, Feeling Great app, Nomie, todai.
Everything these tools do, in one app
- Mood tracking Allows users to monitor their emotional states over time to identify patterns and progress.Found in Clearmind, Calmtopia, Earkick and 1 more
- AI-guided chat support Provides conversational support through an AI companion for expressing thoughts and receiving guidance.Found in Earkick, Deepen, Feeling Great app and 1 more
- Personalized meditation Offers meditation sessions that adapt to the user's current mood and personal experiences.Found in Clearmind, Calmtopia
- Mood-based recommendations Suggests activities, meditations, or tools based on the user's current emotional state.Found in Clearmind, Calmtopia
- Guided self-care sessions Provides structured sessions with exercises to develop coping strategies and improve mental resilience.Found in Earkick
- Breathing exercises Guides users through breathing techniques to help reduce stress and calm down.Found in Earkick, Nomie
- Journaling Allows users to record thoughts and feelings for reflection and emotional processing.Found in Deepen, Nomie
- Insights dashboard Displays visualized reflections and summaries of journal entries to help users understand their progress.Found in Deepen
- Auto-analysis of entries Automatically analyzes user entries to identify recurring patterns and provide feedback.Found in Deepen
- Self-talk functionality Enables users to engage in conversations with themselves to explore inner thoughts and foster self-awareness.Found in Deepen
- Interactive courses Offers step-by-step lessons to challenge negative thoughts and transform emotions.Found in Feeling Great app
- Quick mood boost Aims to provide rapid emotional support and mood improvement.Found in Feeling Great app
- Voice and video memos Allows users to record thoughts and feelings using voice or video for personal reflection.Found in Earkick
- Heart rate monitoring Measures heart rate during sessions to provide insights into physiological responses related to emotional states.Found in Earkick
- Privacy protection Safeguards personal data through encryption or by not requiring personal information.Found in Clearmind, Earkick, Nomie
- Research-backed methods Uses techniques and approaches supported by scientific research in mental health.Found in Clearmind, Feeling Great app, todai
- Task automation Automates repetitive tasks to reduce manual effort and improve efficiency.Found in SereneAI
- Workflow templates Provides customizable templates to suit different project needs.Found in SereneAI
How it works, step by step
- Record mood check-ins over time
- Detect recurring mood and practice patterns
- Offer AI-guided conversational support with escalation rules
- Adapt meditation and breathing sessions to the current mood
- Recommend activities, meditations or tools for the current state
- Run structured guided self-care sessions
- Capture journal entries, voice memos and video memos
- Analyse entries for recurring themes and feedback
- Support self-talk reflection with prompts
- Deliver interactive courses on challenging negative thoughts
- Provide quick mood-boost exercises
- Read consented heart-rate data during sessions
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned facilitator-reviewed wellbeing practice record linked to each participant's plan 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 Guided emotional wellbeing practice platform 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 Guided emotional wellbeing practice platform 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 Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data199 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
Reduce the number of separate wellbeing subscriptions while keeping one reviewed record of participant progress. For clinic, employer and education teams delivering structured emotional wellbeing programmes, convert permitted participant inputs, mood logs, journal entries, session notes and consented physiological readings into a facilitator-reviewed wellbeing practice record linked to each participant's plan. The benefit is a testable hypothesis, measured through completed practice sessions per participant and facilitator review hours per active participant; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted participant inputs, mood logs, journal entries, session notes and consented physiological readings, then follow this sequence: 1. Record mood check-ins over time. 2. Detect recurring mood and practice patterns. 3. Offer AI-guided conversational support with escalation rules. Resolve uncertain cases with qualified reviewers, approve facilitator-reviewed wellbeing practice record linked to each participant's plan, and measure completed practice sessions per participant and facilitator review hours per active participant against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One defined programme scope and consented data set; clinical decisions and crisis escalation remain with qualified staff. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve participant voice, source attribution, consent accuracy and usage permissions. Participants and qualified staff approve substantive changes and programme scope. One defined programme scope and consented data set; clinical decisions and crisis escalation remain with qualified staff. 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 defined programme scope and consented data set; clinical decisions and crisis escalation remain with qualified staff. Implement one approved input format, a bounded representative case set and the first two task modules: record mood check-ins over time; detect recurring mood and practice patterns. Support the third module with operator review: offer AI-guided conversational support with escalation rules. 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
Participant-owned records, authorized programme materials and permitted research sources. Cloud record storage, calendar and roster import/export and reporting destinations. Start with file exchange and validate destination specifications before promising direct reporting. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Programme and consent setup, Participant practice workspace, Facilitator review and escalation. Use a participant list for programmes, a large central practice canvas, and a right-hand panel for mood, plan, resources and comments. Let facilitators compare sessions side by side. Display draft, changes requested and approved states. Provide a participant view with comments anchored to the relevant entry. Make the task-specific outcome facilitator-reviewed wellbeing practice record linked to each participant's plan visible beside its evidence, review state and value baseline.
