Guided emotional wellbeing practice platform

For

Clinic, employer and education teams delivering structured emotional wellbeing programmes

Solves

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.

Delivers

Facilitator-reviewed wellbeing practice record linked to each participant's plan

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce the number of separate wellbeing subscriptions while keeping one reviewed record of participant progress.

1. Record mood check-ins over time.
2. Detect recurring mood and practice patterns.
3. Offer AI-guided conversational support with escalation rules.
4. Adapt meditation and breathing sessions to the current mood.
5. Recommend activities, meditations or tools for the current state.
6. Run structured guided self-care sessions.
7. Capture journal entries, voice memos and video memos.
8. Analyse entries for recurring themes and feedback.
9. Support self-talk reflection with prompts.
10. Deliver interactive courses on challenging negative thoughts.
11. Provide quick mood-boost exercises.
12. Read consented heart-rate data during sessions.
13. Compare the reviewed result with the recorded baseline and value assumptions.
14. Capture corrections and named-owner approval before consequential use.
15. Export a versioned facilitator-reviewed wellbeing practice record linked to each participant's plan with source references and unresolved questions.

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

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted participant inputs, mood logs, journal entries, session notes and consented physiological readings

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted participant inputs

4. 3

   Mood logs

5. 4

   Journal entries

6. 5

   Session notes and consented physiological readings

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Facilitator-reviewed wellbeing practice record linked to each participant's plan

AI does the heavy lifting, people stay in charge

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.

What your team sees

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.

Accounts and administration

Programme ownership, participant records, consent versions, facilitator comments, approval states, usage allowances, session limits, export history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

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.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: record mood check-ins over time; detect recurring mood and practice patterns. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will clinic, employer and education teams delivering structured emotional wellbeing programmes use it to solve "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"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Completed practice sessions per participant and facilitator review hours per active participant.
4. Measure, then decide. Track completed practice sessions per participant and facilitator review hours per active participant; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around facilitator-reviewed wellbeing practice record linked to each participant's plan. Retain the explicit scope boundary: One defined programme scope and consented data set; clinical decisions and crisis escalation remain with qualified staff.

What the build depends on. Record upload and preview, asynchronous session jobs, editable version history, reviewer access and tested export formats. High-fidelity care requires specialist clinical QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One defined programme scope and consented data set; clinical decisions and crisis escalation remain with qualified staff.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined programme package. Offer a monthly practice allowance after repeat demand. Quote complex clinical, integration or specialist wellbeing work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded facilitator-reviewed wellbeing practice record linked to each participant's plan. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce the number of separate wellbeing subscriptions while keeping one reviewed record of participant progress. Demonstrate a concrete facilitator-reviewed wellbeing practice record linked to each participant's plan using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Clinic, employer and education teams delivering structured emotional wellbeing programmes professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample facilitator-reviewed wellbeing practice record linked to each participant's plan from a small authorized input set, with a transparent calculation of completed practice sessions per participant and facilitator review hours per active participant and no promised savings.

The first 30 days

1. Week 1: interview five clinic, employer and education teams delivering structured emotional wellbeing programmes and inspect a recent example of wellbeing support split across several subscriptions with no shared record or duty-of-care oversight.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure completed practice sessions per participant and facilitator review hours per active participant, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Completed practice sessions per participant and facilitator review hours per active participant. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Completed practice sessions per participant and facilitator review hours per active participant; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs facilitator-reviewed wellbeing practice record linked to each participant's plan. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved programme templates, escalation rules and review examples, together with reliable delivery for a narrow care niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for clinic, employer and education teams delivering structured emotional wellbeing programmes. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Clearmind, Calmtopia, Earkick, Deepen, SereneAI, Feeling Great app, Nomie and todai, plus generic wellbeing apps and paper-based programmes. Compare this product with the buyer's present method on completed practice sessions per participant and facilitator review hours per active participant. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, session processing, storage, reviewer hours, participant revision rounds and licensed source materials. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of facilitator-reviewed wellbeing practice record linked to each participant's plan. Track cost per accepted output, including correction work, unsuccessful cases and support.

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.