Source-linked wellbeing guidance and daily-life console

Reduce the number of separate tools a person uses while keeping every suggestion linked to its source and review state. For people managing personal wellbeing and daily life, convert user-entered preferences, calendar and note data, permitted device content and session history into source-linked guidance, organized tasks and generated sessions with named-owner review where it matters. The benefit is a testable hypothesis, measured through accepted guidance items per user week and corrections after review; do not assume that AI output alone produces business value.

Confirm the user's problem and scope, collect user-entered preferences, calendar and note data, permitted device content and session history, then follow this sequence: 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. Resolve uncertain cases with qualified reviewers, approve source-linked guidance, organized tasks and generated sessions, and measure accepted guidance items per user week and corrections after review 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 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.

Safeguards

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.

What to build first

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.

What it can connect to

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.

The screens in detail

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.