Source-linked wellbeing guidance and daily-life console

For

People managing personal wellbeing and daily life, and the administrators who support them

Solves

Wellbeing guidance, task organization and personalized content sit in separate subscriptions, so users re-enter context and cannot see which source supports a suggestion.

Delivers

Source-linked guidance, organized tasks and generated sessions

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

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

Reduce the number of separate tools a person uses while keeping every suggestion linked to its source and review state.

1. Capture user preferences and goals in plain language.
2. Suggest content or actions tailored to stated input and preferences.
3. Accept everyday-language requests and queries.
4. Analyze arriving data and show what changed.
5. Answer across multiple wellbeing and daily-life domains.
6. Adjust the interface based on user feedback.
7. Sort and prioritize tasks by stated importance.
8. Send personalized reminders and start focus sessions.
9. Report productivity and habit trends over time.
10. Connect calendars and note apps for two-way sync.
11. Let users rearrange, hide or resize interface sections.
12. Detect and categorize events from permitted photos, videos and messages.
13. Apply custom tags for organizing content.
14. Store data in cloud storage with cross-device access.
15. Apply privacy controls and per-item sharing limits.
16. Generate personalized meditations from user input.
17. Offer narrator voice and tone choices.
18. Set adjustable session lengths.
19. Offer mindfulness, relaxation and focus styles.
20. Track progress and download content for offline use.
21. Compare the reviewed result with the recorded baseline and value assumptions.
22. Capture corrections and named-owner approval before consequential use.
23. Export a versioned source-linked guidance, task and session record with source references and unresolved questions.

Everything these tools do, in one app

• Personalized recommendations Suggests content or actions tailored to the user's input and preferences.Found in BeGuided AI, Bliss Brain, Moments and 2 more
• Natural language interaction Lets users communicate in everyday language for easy and intuitive use.Found in BeGuided AI
• Real-time data analysis Provides up-to-date information by analyzing data as it arrives.Found in BeGuided AI
• Multi-domain support Offers assistance across a wide range of topics and queries.Found in BeGuided AI
• Adaptive interface Adjusts the interface based on user needs and feedback.Found in BeGuided AI
• Task organization Sorts and prioritizes tasks to help manage workload.Found in Bliss Brain
• Reminders and focus sessions Sends personalized reminders and guides focus sessions.Found in Bliss Brain, Moments, Mindfuly: Daily AI Meditations
• Productivity reports Provides analytics and reports on productivity.Found in Bliss Brain
• Calendar and note integration Connects with calendars and note apps for seamless workflow.Found in Bliss Brain, Moments
• Customizable interface Allows users to adjust the interface to their preferences.Found in Bliss Brain
• Automatic event detection Automatically identifies and categorizes key events from photos, videos, and messages.Found in Moments
• Tagging system Enables custom tags for organizing content.Found in Moments
• Cloud storage Stores data securely in the cloud for access across devices.Found in Moments
• Privacy controls Offers strong privacy settings to protect user data.Found in Moments
• Generated meditations Creates personalized meditations based on user input.Found in Serene, Mindfuly: Daily AI Meditations
• Narrator voice options Provides a choice of narrator voices with different tones.Found in Serene
• Adjustable session length Allows users to set the length of meditation sessions.Found in Serene
• Meditation style variety Offers different meditation styles such as mindfulness, relaxation, and focus.Found in Mindfuly: Daily AI Meditations
• Progress tracking Monitors improvements over time.Found in Mindfuly: Daily AI Meditations
• Offline access Allows use of downloaded content without an internet connection.Found in Mindfuly: Daily AI Meditations

What goes in, what comes out

The workflow

1. In
   Start with

   User-entered preferences, calendar and note data, permitted device content and session history

2. 1

   Confirm the user's problem and scope

3. 2

   Collect user-entered preferences

4. 3

   Calendar and note data

5. 4

   Permitted device content and session history

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Source-linked guidance, organized tasks and generated sessions

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for scheduling arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Wellbeing guidance is not medical advice; clinical decisions and crisis handling remain with qualified professionals. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Onboarding and preferences, Daily guidance and task board, Generated session player, Administrator console. Use a left navigation for domains, a central card feed for recommendations and tasks, and a right-hand panel for sources, tags and review state. Let users compare a suggestion against its cited input. Display draft, changes requested and approved states. Provide an administrator view with access boundaries, usage caps and export logs. Make the task-specific outcome source-linked guidance, organized tasks and generated sessions visible beside its evidence, review state and value baseline.

Accounts and administration

User ownership, data versions, sharing permissions, approval states, usage allowances, session limits, download 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

User-owned calendars, note apps and permitted device content. Cloud storage, session audio export and care-team 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.

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: capture user preferences and goals in plain language; suggest content or actions tailored to stated input and preferences. 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 people managing personal wellbeing and daily life, and the administrators who support them use it to solve "wellbeing guidance, task organization and personalized content sit in separate subscriptions, so users re-enter context and cannot see which source supports a suggestion"?
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: Accepted guidance items per user week and corrections after review.
4. Measure, then decide. Track accepted guidance items per user week and corrections after review; 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 user group and one wellbeing domain; clinical decisions and crisis handling remain with qualified professionals. Implement one approved input format, a bounded representative case set and the first two task modules: capture user preferences and goals in plain language; suggest content or actions tailored to stated input and preferences. Support the remaining modules with operator review: accept everyday-language requests and queries; analyze arriving data and show what changed. 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 source-linked guidance, organized tasks and generated sessions. Retain the explicit scope boundary: One user group and one wellbeing domain; clinical decisions and crisis handling remain with qualified professionals.

What the build depends on. Account setup and preference capture, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity care workflows require specialist clinical QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One user group and one wellbeing domain; clinical decisions and crisis handling remain with qualified professionals.

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 user group. Offer a monthly usage allowance after repeat demand. Quote specialist clinical or multi-tenant work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded source-linked guidance, task and session record. 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 tools a person uses while keeping every suggestion linked to its source and review state. Demonstrate a concrete source-linked guidance, task and session record using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

People managing personal wellbeing and daily life professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant care or practitioner events.

Lead magnet

A reviewed sample source-linked guidance, task and session record from a small authorized input set, with a transparent calculation of accepted guidance items per user week and corrections after review and no promised savings.

The first 30 days

1. Week 1: interview five people managing personal wellbeing and daily life and inspect a recent example of separate subscriptions forcing re-entry of context and unclear sourcing.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted guidance items per user week and corrections after review, 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: Accepted guidance items per user week and corrections after review. 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

Accepted guidance items per user week and corrections after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs source-linked guidance, organized tasks and generated sessions. 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 guidance patterns, wellbeing constraints 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 people managing personal wellbeing and daily life. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

BeGuided AI, Bliss Brain, Moments, Serene and Mindfuly: Daily AI Meditations, plus general assistants and standalone habit apps. Compare this product with the buyer's present method on accepted guidance items per user week and corrections after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, speech and media processing, storage, reviewer hours, user revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of source-linked guidance, organized tasks and generated sessions. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve user voice, source attribution, quotation accuracy and usage permissions. Users approve substantive changes and sharing scope. One user group and one wellbeing domain; clinical decisions and crisis handling remain with qualified professionals. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.