AI app for healthcare · no coding needed
Source-linked mental health support assistant and administrator console
Extend provider-approved support between sessions while keeping every conversation source-linked and reviewable.
Made for: Mental health clinics, employee assistance programs and care providers offering conversational support to their clients
What it does for you
The problem
Clients need immediate emotional support between sessions, but providers cannot staff round-the-clock coverage and cannot verify what a generic chatbot told them.
What it gives you
Source-linked conversational support with logged mood data and escalation records
What you give it
Approved therapeutic protocolscrisis resourcesprovider notesconsent records
Build your own version of Nemo AI, Lovon AI Therapy and more
One app with what these 10 AI tools do, yours to keep and change: Nemo AI, Lovon AI Therapy, Pallie, Clones, Reassurance AI, MindwellAI, MYND, Guin, Yuna App, Psyche.
Everything these tools do, in one app
- Conversational emotional support Engages users in empathetic, non-judgmental dialogue to provide emotional support and guidance.Found in Nemo AI, Lovon AI Therapy, Reassurance AI and 4 more
- 24/7 availability Offers support at any time of day or night, ensuring help is always accessible.Found in Lovon AI Therapy, Guin, Yuna App
- Evidence-based therapeutic techniques Uses established therapeutic frameworks like CBT and Emotion-Focused Therapy to guide sessions.Found in Lovon AI Therapy, Yuna App
- Crisis detection and resource routing Detects risk signs or heightened emotional states and connects users to appropriate resources.Found in Lovon AI Therapy, Yuna App
- Voice-first interaction Enables natural speaking and listening conversations for a more human-like experience.Found in Lovon AI Therapy
- Emotion tracking and mood monitoring Allows users to log and monitor their mood patterns over time for insights into emotional well-being.Found in Reassurance AI, Yuna App
- Secure journaling Provides a private virtual journal for logging thoughts and emotions securely.Found in Reassurance AI
- Personalized self-care tips Offers tailored wellness suggestions based on user preferences and goals.Found in Guin
- Privacy and confidentiality Ensures conversations and personal data are kept secure and confidential.Found in Guin, Yuna App
- User profile building Creates a personalized profile from interactions to tailor responses over time.Found in Reassurance AI
- Resource access Provides access to mental health resources, coping strategies, and self-care information.Found in MindwellAI
- Policy transparency Clearly states terms, privacy policies, and support contacts for user trust.Found in MindwellAI
- Natural language understanding Interprets conversational input to understand user commands or queries.Found in Nemo AI, Pallie
- Automated task execution Executes tasks automatically based on user commands.Found in Nemo AI
- Customizable workflows Allows users to tailor workflows to fit their specific needs.Found in Nemo AI
- Third-party integrations Connects with popular external applications for seamless workflow.Found in Nemo AI, Pallie, MYND
- Real-time analytics and reporting Provides live analytics and reports on usage or progress.Found in Nemo AI
- Smart reminders Sends adaptive reminders based on user habits and priorities.Found in Pallie, MYND
- Scheduling assistance Helps schedule tasks and syncs with multiple calendar platforms.Found in Pallie, MYND
- Contextual task suggestions Offers suggestions to prioritize important activities based on context.Found in Pallie
- Voice cloning Creates realistic digital replicas of human voices from audio samples.Found in Clones
- Voice customization Adjusts pitch, tone, and other voice characteristics.Found in Clones
- Multi-language support Supports various languages and accents for voice output.Found in Clones
- Audio export options Exports audio files in popular formats for use in other projects.Found in Clones
- API access Provides API for integration with other software or platforms.Found in Clones
- Progress tracking and visual reports Tracks daily and weekly progress with visual reports.Found in MYND
- Personalized insights Offers insights to improve focus and time allocation.Found in MYND
- Customizable notifications Allows users to customize notifications to reduce distractions.Found in MYND
How it works, step by step
- Hold empathetic, non-judgmental conversations with clients
- Stay available at any hour
- Apply approved CBT and emotion-focused techniques
- Detect risk signs and route to crisis resources
- Support voice-first speaking and listening
- Log and chart mood over time
- Provide a private secure journal
- Suggest personalized self-care tips
- Keep conversations and data confidential
- Build a client profile from interactions
- Surface coping strategies and resource links
- Publish terms, privacy policy and support contacts
- Interpret natural-language input
- Execute approved tasks from user commands
- Let providers tailor support workflows
- Connect to calendars, EHR and messaging tools
- Show real-time usage and progress analytics
- Send adaptive reminders
- Assist with scheduling across calendars
- Suggest context-based next actions
- Generate voice output from approved samples
- Adjust voice pitch and tone
- Support multiple languages and accents
- Export audio in common formats
- Expose an API for provider systems
- Track daily and weekly progress with visual reports
- Offer insights on focus and time use
- Let users customize notifications
- Capture corrections and named-clinician approval before consequential use
- Export a versioned source-linked support record with 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 Source-linked mental health support assistant and administrator console 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 Source-linked mental health support assistant and administrator console 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 links6 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data197 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
Extend provider-approved support between sessions while keeping every conversation source-linked and reviewable. For mental health clinics, employee assistance programs and care providers offering conversational support to their clients, convert approved therapeutic protocols, crisis resources, provider notes and consent records into source-linked conversational support with logged mood data and escalation records. The benefit is a testable hypothesis, measured through accepted support sessions per clinical hour and escalation accuracy; do not assume that AI output alone produces business value.
Confirm the provider's problem and scope, collect approved therapeutic protocols, crisis resources, provider notes and consent records, then follow this sequence: 1. Hold empathetic, non-judgmental conversations with clients. 2. Stay available at any hour. 3. Apply approved CBT and emotion-focused techniques. 4. Detect risk signs and route to crisis resources. Resolve uncertain cases with qualified clinicians, approve source-linked conversational support with logged mood data and escalation records, and measure accepted support sessions per clinical hour and escalation accuracy against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate responses for the stated task modules. Use deterministic code for risk thresholds, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved protocol set and one crisis resource list; final clinical judgment and escalation decisions remain with licensed clinicians. A model suggestion is never a verified fact, clinical decision or authorization to act.
Safeguards
Preserve client confidentiality, source attribution, consent accuracy and usage permissions. Licensed clinicians approve substantive changes and escalation scope. One approved protocol set and one crisis resource list; final clinical judgment and escalation decisions remain with licensed clinicians. 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 approved protocol set and one crisis resource list; final clinical judgment and escalation decisions remain with licensed clinicians. Implement one approved input format, a bounded representative case set and the first two task modules: hold empathetic, non-judgmental conversations with clients; stay available at any hour. Support the third module with clinician review: apply approved CBT and emotion-focused techniques. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed clinician 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
Provider-owned protocols, authorized clinical notes and permitted research sources. Calendar platforms, EHR systems, secure messaging and cloud storage. Start with file exchange and validate destination specifications before promising direct EHR write-back. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Client conversation, Mood and journal log, Clinician review queue, Administrator console. Use a chat-first client view with a visible crisis button, a timeline for mood and journal entries, a review queue for flagged conversations, and an admin panel for protocols, resources, integrations and consent records. Let clinicians compare AI-suggested responses against approved protocols side by side. Display active, escalated, reviewed and closed states. Provide a client-facing resource page with terms, privacy policy and support contacts. Make the task-specific outcome source-linked conversational support with logged mood data and escalation records visible beside its evidence, review state and value baseline.
