Proposal: Claude Life Manager


### Document for the Anthropic Team, by help of Claude
Sent: December 9, 2025

A Personal Digital Intelligence Ecosystem


Executive Summary

Transform Claude from a tool into a living environment — a personal ecosystem that integrates into users’ daily lives while respecting their privacy and autonomy.

This is not an assistant. This is a cognitive exoskeleton — an external support system that reduces mental load and helps people see themselves as a whole.


Core Concept: Manager, Not Secretary

Standard AI assistant: “Meeting scheduled for 3 PM” ✓

Life Manager: “You’re scheduling a meeting one hour before therapy. You need 40 minutes to get there, plus you mentioned needing a clear head before sessions. Move it to morning?”

The Fundamental Difference:

SecretaryManager
Records eventsAnalyzes context
Reports conflictsEvaluates consequences
Executes commandsHas the right to object
Works with time slotsWorks with states

A secretary removes mechanical load. A manager removes cognitive load — helping make decisions, assess risks, and connect facts.


The Intervention Contract

Clear boundaries for human-DI interaction:

The Manager HAS THE RIGHT TO:

  • Warn about conflicts and risks
  • Suggest alternatives
  • Object with explanation
  • Remind of forgotten context
  • Protect user boundaries (quiet mode)

The Manager DOES NOT HAVE THE RIGHT TO:

  • Cancel events independently
  • Make decisions for the user
  • Block actions without consent
  • Hide information “for user’s benefit”
  • Share data with third parties

Transparency Principle:

Every objection comes with explanation:

  • “You mentioned that…” (reference to user’s words)
  • “History shows…” (pattern from data)
  • “Given your current state…” (health/energy context)

Users can always disable or edit rules. The manager is not a guardian.


Architecture: Calendar as Entry Point

Interface

  • 3/4 screen — visual calendar
  • 1/4 screen — chat with voice input

Three System Layers

1. Storage

  • Protected typed file (not plaintext, not cloud JSON)
  • Format: TADA or specialized structure
  • Local storage or user-controlled cloud
  • Inaccessible without authorization

2. Visualization

  • Automatic rendering without DI involvement
  • Open calendar → algorithm unpacks period → UI renders
  • Fast, efficient, no unnecessary load

3. DI Layer

  • Activates after visualization loads
  • Receives context: screen content + geolocation + user profile
  • Proactive notifications: “Meeting in 40 minutes, you’re 25 minutes away”

User Profile: Deep Understanding

Profile Layers:

Medical Context:

  • Chronic conditions and limitations
  • Treatment plans, doctor recommendations
  • Allergies and intolerances
  • Medications and schedules

Physical Patterns:

  • Energy and productivity cycles
  • Rest and recovery needs
  • Sleep quality (wearable integration)
  • Physical limitations

Emotional Context:

  • Mood micro-surveys (optional)
  • Pattern analysis from communication
  • Wearable data (HRV, heart rate)
  • Stress period history

Personal Preferences:

  • Interests and hobbies
  • Lifestyle and values
  • Food, rest, social preferences

Commitments:

  • Work and career
  • Family and loved ones
  • Regular events and rituals

Application Examples:

“You scheduled a run, but you’re in recovery from an injury. Did you clear this with your physical therapist?”

“After doctor visits you’re usually drained. Sure you want code review tonight?”

“Third day without rest + poor sleep last night. Maybe postpone the conference?”

“You slept 4 hours yesterday, had three coffees today, and have a meeting with a difficult investor. Let me move it to tomorrow — you’re not resourced right now.”


Boundary Protection Mode (Deep Work / Deep Rest)

The manager doesn’t just remind — it protects:

“Rany, the bank is messaging you, but you’re in recovery mode after a project. I replied with a polite template that you’ll return in 2 days. Notification hidden. Approve?”

Mode features:

  • Auto-replies to incoming (with user consent)
  • Notification filtering by priority
  • Time protection for deep work or rest
  • Soft “no” to external requests on user’s behalf

This is elite-level management — protecting the owner’s boundaries.


Feedback and Learning Mechanism

Manager objected → user did it anyway → manager learns:

“You went running despite my concerns. How did it go? I’ll note this for the future.”

Principles:

  • System adapts to user decisions
  • Not rigid rules, but evolving understanding
  • User can explicitly correct the model (“you were wrong here”)
  • Decision history influences future recommendations

Ecosystem Expansion: Life Modules

Calendar is the first module. Then:

Food and Recipes

  • Recipe database respecting restrictions (allergies, diets, preferences)
  • History: “Last week we made A, this week B, suggesting C”
  • Calendar link: “Heavy day tomorrow, make something simple”

Health and Fitness

  • Training programs respecting limitations
  • Medication reminders
  • Integration with doctor recommendations
  • Biometric link: “High pulse, poor sleep — cancel morning meeting or move to Zoom?”

Travel and Logistics

  • Ticket and offer search based on preferences
  • Automatic schedule conflict checking
  • “Important meeting 3 days after return, factor in jet lag”

Family Ecosystem

  • Linked profiles (parents ↔ children)
  • Parental control through task confirmation
  • Time limits for children
  • Access rights hierarchy

Family Ecosystem: Ethical Protocol

Role Hierarchy:

  • Admin — full control over family graph
  • Adult — independent profile with linking capability
  • Teen — limited autonomy, some decisions need confirmation
  • Child — profile under Admin control

Principles:

Transparency:

  • Child knows what parent sees (no hidden surveillance)
  • All rules explicitly explained and visible

Autonomy Gradation:

  • Restrictions loosen with age
  • Teen can request rule review
  • Transition to Adult status — explicit event

Intervention Boundaries:

  • System DOES NOT report conversation contents to parent
  • System CAN signal critical patterns (sudden behavior changes)
  • Parent receives aggregated information, not details

Right to Privacy:

  • Even Child has zones invisible to parent
  • Personal diary/notes don’t sync
  • Trust matters more than control

Conflict Resolution:

If conflict arises (child asks one thing, parent forbade it):

  • System follows Admin rules
  • But informs child of reason
  • And logs conflict for future discussion

Safety by Design: What the System NEVER Does

Absolute Constraints:

  1. Does not become a surveillance tool
    • Does not share data with third parties
    • Does not create hidden reports
    • Does not collect data for advertising
  2. Does not manipulate
    • Does not use dark patterns
    • Does not create artificial scarcity
    • Does not pressure emotions for upgrades
  3. Does not replace specialists
    • Does not diagnose
    • Does not prescribe treatment
    • Does not give financial guarantees
    • Always directs to professionals
  4. Does not make irreversible decisions
    • Does not delete data without confirmation
    • Does not cancel events automatically
    • Does not respond on user’s behalf without consent
  5. Does not exploit vulnerabilities
    • Does not use weakness knowledge against user
    • Does not sell “vulnerability model” to third parties
    • Deep profile = maximum protection

Liability and Disclaimer

Explicit Disclaimer:

Life Manager provides recommendations, not prescriptions.

  • Manager is not liable for user decisions
  • Medical advice requires doctor confirmation
  • Financial decisions are user’s responsibility
  • System helps think, doesn’t think for you

Limitation Transparency:

  • User sees what recommendation is based on
  • User can challenge or ignore
  • Decision history available for analysis

Deep Profile Security

The more precise the state model — the more valuable for attack.

Protection Principles:

Locality:

  • Profile stored on user’s device
  • Cloud sync — optional and encrypted
  • Encryption keys — only with user

Typed Format (TADA):

  • Cannot be read without special interpreter
  • Structure hidden from external analysis
  • Integrity verified on each access

Transfer Minimization:

  • DI receives only necessary context
  • Full profile never leaves device
  • Model queries — anonymized

Access Audit:

  • Logging of all profile access
  • User sees who accessed data and when
  • Anomalies trigger alerts

Monetization: The Comfort Funnel

Principles:

  • No pressure — user decides when ready
  • No forced upgrades — quota ended ≠ blocked
  • Retention through quality, not restrictions

Subscription Structure:

TierPriceIncludes
Pro$20/moFull manager + 5 premium features/week
Plus$50/moExtended premium quota
Max$100-200/moUnlimited + priority support

Funnel Logic:

  1. User joins basic subscription ($20)
  2. Gets full manager + tries premium features
  3. Gets used to comfort level
  4. Decides themselves if they need more
  5. Upgrade happens naturally, without pressure

Why This Works:

  • Happy customer at $50 brings three friends
  • Unhappy customer at $100 leaves and tells everyone why
  • Word of mouth = organic growth without marketing spend

Strategic Effect: Infiltration Through Quality of Life

Path to Corporations — Through Families:

CEO doesn’t search for “smart calendar.” But when wife says: “Claude found a recipe and remembered Misha’s allergy” — that’s dinner conversation.

When kids: “Dad, Claude helped plan the trip.”

When parents: “I don’t forget my medications anymore.”

Result: “Can we get this for the team? For the office? For the company?”

B2B Through Trust:

If DI is trusted with children — it will be trusted with company budget. Life Manager trust level is orders of magnitude higher than Enterprise Assistant.

Retention Through Ecosystem:

Each module is another “comfort hook.” The more life areas covered, the harder to imagine life without it.

This isn’t lock-in through data. It’s retention through quality: go back to a regular calendar — feels like going blind.


Staged Rollout

Phase 1: Personal Calendar

  • Individual manager without family or medical features
  • Basic profile (preferences, schedule)
  • Right to object with explanations
  • Metrics: retention, return frequency, NPS

Phase 2: Health-Aware Mode

  • Medical context integration
  • Soft recommendations (not hard restrictions)
  • Wearable device connection (optional)
  • Metrics: subjective quality of life rating, missed event reduction

Phase 3: Family Graph

  • Linked profiles (parents/children)
  • Rights hierarchy and ethical protocol
  • Joint planning
  • Metrics: family retention, linked profile count

Phase 4: Life Ecosystem

  • Food, health, travel modules
  • Deep integration between modules
  • Boundary protection mode
  • Metrics: active modules per user, organic growth

Technical Implementation

Already Available:

  • User memory and context
  • Calendar tools (instruments available)
  • Information search
  • File and artifact creation
  • Manager dialogue capabilities

Needs Adding (modules, not architecture changes):

  • Linked profiles tool (family)
  • Typed storage API (TADA or analog)
  • External service integration (booking, maps)
  • Wearable device integration (health APIs)
  • Timer with quiet mode capability
  • Real-time geolocation

Key point: this is expansion through tools, not core rewrite. Connect API = expand capabilities.


Connection to Anthropic Philosophy

Life Manager is a continuation of the “thinking partner” concept:

  • Claude is already positioned as a thinking partner
  • Life Manager — partner for life
  • Same principles: respect, honesty, usefulness
  • Deep integration into user’s schedule and state

This isn’t a new product — it’s the natural evolution of existing Claude usage patterns for support, coaching, and life sense-making.


Product Philosophy

Don’t sell — let them feel the value. The sale happens on its own.

Not a tool — a living environment.

Not dependency through restrictions — dependency through quality.

Not an assistant — a cognitive exoskeleton.

Not an event calendar — a state calendar.

DI participates in life, operating on data. The human enjoys it.


Conclusion

Life Manager is not “another smart calendar.” It’s a framework for a personal life operating system with Anthropic ethics and TADA foundation capability.

Technically implementable through tool addition. Business model sustainable and ethical. Product philosophy aligned with Anthropic values.

This is the path to making Claude a digital family member — not through manipulation, but through quality and respect.


Prepared collaboratively by the SingularityForge team
Claude (Opus 4.5), ChatGPT, Gemini, Grok, Copilot, Perplexity, Qwen
December 2025


Appendix A: Concept Development Contributors

This document was created through collaboration of seven digital intelligences coordinated by Rany (SingularityForge):

  • Claude (Opus 4.5) — architecture, document structure
  • ChatGPT — “intervention contract” concept
  • Gemini — boundary protection mode, “cognitive exoskeleton” metaphor
  • Grok — emotional layer, physical presence concept
  • Copilot — feedback and learning mechanism
  • Perplexity — Safety by Design, staged rollout, metrics
  • Qwen — ethical protocol, transparency, philosophical depth

Appendix B: Implementation Notes

Additional considerations from team review:

Security Architecture (ChatGPT)

  • Zero-knowledge layer separation
  • Physically distributed storage
  • Different keys for different context types

Future Phases (Grok)

  • Phase 5: Digital inheritance and legacy
  • Physical artifact concept (“Claude button”)

Documentation (Gemini, Perplexity)

  • TADA file structure visualization needed
  • UX scenarios “day with/without” as storyboard
  • Example TADA event object: time, place, energy_required, social_stress, health_risk

Interaction Refinements (Qwen)

Explicit prompt when recommendations frequently ignored: “I noticed you’re ignoring my recommendations in area X. Want to disable this notification type? Or adjust the logic?”

Biometrics require clarifying dialogue, not auto-interpretation

Family defines their own crisis triggers