Feed Type: `mobile-app.llmfeed.json`

🎯 Purpose

This feed declares how a mobile application (iOS/Android) can be discovered, understood, and interacted with by AI agents — enabling voice control, cross-platform workflows, and agent-mediated app functionality.

It bridges mobile app capabilities with conversational AI, autonomous agents, and voice assistants.

🌍 Why Mobile Apps Need Agent Integration

The Problem

Apps exist in silos — agents can't discover or interact with them
Users must manually open apps and navigate interfaces
No way for agents to understand app capabilities or trigger functions
Voice assistants limited to basic app launching

The Solution

mobile-app.llmfeed.json enables:

Agent discovery of app features and data
Voice-controlled app interactions
Cross-app agent workflows
Verified app metadata for agent trust
Deep linking with agent context

📱 Core Structure

{
  "feed_type": "mobile-app",
  "metadata": {
    "title": "HealthSync Pro",
    "app_name": "HealthSync",
    "version": "3.2.1",
    "platform": ["ios", "android"],
    "app_id": {
      "ios": "com.healthsync.app",
      "android": "com.healthsync.android",
      "web": "app.healthsync.com"
    },
    "origin": "https://healthsync.com",
    "developer": "HealthSync Inc.",
    "category": "health-fitness"
  }
}

🔗 App Store Integration

{
  "app_store": {
    "ios": {
      "store_url": "https://apps.apple.com/app/healthsync/id123456789",
      "minimum_version": "15.0",
      "supported_devices": ["iphone", "ipad", "apple-watch"]
    },
    "android": {
      "store_url": "https://play.google.com/store/apps/details?id=com.healthsync.android",
      "minimum_api_level": 26,
      "supported_devices": ["phone", "tablet", "wear"]
    },
    "web": {
      "pwa_url": "https://app.healthsync.com",
      "install_prompt": true
    }
  }
}

🎙️ Voice Assistant Integration

Basic Voice Commands

{
  "voice_commands": [
    {
      "intent": "view_health_stats",
      "phrases": [
        "show my health stats",
        "open my fitness data", 
        "what's my step count"
      ],
      "deep_link": "healthsync://stats",
      "requires_app": true,
      "fallback_action": "open_app_store"
    },
    {
      "intent": "log_workout", 
      "phrases": [
        "log a workout",
        "record my exercise",
        "I just finished running"
      ],
      "deep_link": "healthsync://workout/new",
      "parameters": ["activity_type", "duration"],
      "requires_auth": true
    }
  ]
}

Advanced Agent Integration

{
  "agent_capabilities": [
    {
      "name": "getHealthData",
      "description": "Retrieve user's health metrics with consent",
      "deep_link": "healthsync://api/health?agent_token={token}",
      "requires_user_consent": true,
      "data_types": ["steps", "heart_rate", "sleep", "weight"],
      "privacy_level": "high"
    },
    {
      "name": "scheduleWorkout",
      "description": "Schedule a workout session",
      "deep_link": "healthsync://schedule/workout",
      "parameters": {
        "type": ["cardio", "strength", "yoga", "running"],
        "duration": "integer",
        "time": "datetime"
      },
      "requires_user_consent": false
    }
  ]
}

🔄 Cross-Platform Workflows

Agent-to-App Data Flow

{
  "data_exchange": {
    "export_formats": ["llmfeed", "json", "csv"],
    "import_capabilities": ["health_data", "workout_plans", "meal_plans"],
    "sync_endpoints": {
      "export": "https://api.healthsync.com/export.llmfeed.json",
      "import": "https://api.healthsync.com/import",
      "webhook": "https://api.healthsync.com/webhooks/agent"
    },
    "real_time": {
      "websocket": "wss://api.healthsync.com/live",
      "polling_interval": 300
    }
  }
}

Multi-App Coordination

{
  "app_integrations": [
    {
      "app": "FoodTracker Pro",
      "integration_type": "data_sharing",
      "shared_data": ["nutrition", "calories"],
      "deep_link_pattern": "foodtracker://import/healthsync/{data_type}"
    },
    {
      "app": "Apple Health",
      "integration_type": "native_sync",
      "sync_capabilities": ["read", "write"],
      "data_types": ["all"]
    }
  ]
}

🔔 Push Notifications & Agent Triggers

{
  "notifications": {
    "agent_triggers": [
      {
        "event": "workout_completed",
        "agent_action": "analyze_performance",
        "webhook": "https://api.healthsync.com/webhooks/workout",
        "data_payload": ["duration", "calories", "heart_rate"]
      },
      {
        "event": "health_anomaly",
        "agent_action": "suggest_medical_consultation", 
        "urgency": "high",
        "requires_human_review": true
      }
    ],
    "push_capabilities": {
      "personalized_recommendations": true,
      "agent_insights": true,
      "cross_app_coordination": true
    }
  }
}

🛡️ Privacy & Security

{
  "privacy": {
    "data_collection": {
      "health_data": {
        "consent_required": true,
        "retention_days": 365,
        "sharing_allowed": false,
        "encryption": "AES-256"
      },
      "usage_analytics": {
        "consent_required": false,
        "anonymized": true,
        "opt_out_available": true
      }
    },
    "agent_permissions": {
      "default_access": "none",
      "user_controlled": true,
      "granular_permissions": true,
      "audit_trail": true
    }
  }
}

🎯 Real-World Use Cases

1. Health & Fitness Apps

{
  "use_case": "health_coaching",
  "flow": [
    "Agent: 'How was your workout today?'",
    "User: 'I ran 5 miles'",
    "Agent: → Opens HealthSync with pre-filled workout data",
    "App: Logs workout automatically", 
    "Agent: 'Great! I see your pace improved. Want to schedule tomorrow's workout?'"
  ]
}

2. E-commerce Apps

{
  "use_case": "shopping_assistant",
  "prompts": [
    {
      "intent": "product_search",
      "agent_flow": "Search product → Open app product page → Compare prices → Add to cart",
      "deep_link": "shopapp://product/{product_id}?agent_context={context}"
    }
  ]
}

3. Banking Apps

{
  "use_case": "financial_assistant", 
  "capabilities": [
    {
      "name": "checkBalance",
      "security_level": "high",
      "biometric_required": true,
      "deep_link": "bankapp://balance?verify=true"
    },
    {
      "name": "makePayment",
      "security_level": "critical", 
      "multi_factor_auth": true,
      "human_confirmation": "required"
    }
  ]
}

🤖 Agent Behavior Guidelines

{
  "agent_guidance": {
    "interaction_style": "conversational",
    "privacy_first": true,
    "consent_requests": {
      "health_data": "Ask before accessing any health information",
      "location": "Request permission for location-based features",
      "camera": "Explain why camera access is needed"
    },
    "fallback_behavior": {
      "app_not_installed": "Offer app store link with explanation",
      "permission_denied": "Respect user choice, offer alternatives",
      "app_unavailable": "Suggest web version or alternative"
    }
  }
}

📊 Analytics & Insights

{
  "analytics": {
    "agent_interactions": {
      "track_usage": true,
      "success_metrics": ["completion_rate", "user_satisfaction"],
      "optimization_goals": ["reduce_friction", "improve_accuracy"]
    },
    "app_performance": {
      "load_times": "track",
      "crash_reports": "agent_triggered_events",
      "user_retention": "agent_vs_manual_usage"
    }
  }
}

🔗 Platform-Specific Extensions

iOS Shortcuts Integration

{
  "ios_shortcuts": {
    "available_shortcuts": [
      {
        "name": "Log Quick Workout",
        "shortcut_id": "log-workout-quick",
        "voice_phrase": "Log my workout",
        "parameters": ["workout_type", "duration"]
      }
    ],
    "agent_integration": "https://api.healthsync.com/ios-shortcuts.json"
  }
}

Android Tasker/Google Assistant

{
  "android_automation": {
    "tasker_profiles": [
      {
        "name": "Auto Log Steps",
        "trigger": "voice_command",
        "action": "intent://healthsync.log.steps"
      }
    ],
    "google_assistant": {
      "actions_url": "https://api.healthsync.com/assistant-actions.json"
    }
  }
}

🌟 Advanced Features

AR/VR Integration

{
  "immersive_features": {
    "ar_capabilities": [
      {
        "feature": "workout_form_analysis",
        "description": "AI coaching with real-time form feedback",
        "deep_link": "healthsync://ar/workout-coach"
      }
    ],
    "vr_experiences": [
      {
        "feature": "virtual_fitness_classes",
        "platforms": ["oculus", "apple_vision"],
        "agent_integration": true
      }
    ]
  }
}

Wearable Device Integration

{
  "wearables": {
    "supported_devices": [
      {
        "type": "apple_watch",
        "capabilities": ["heart_rate", "steps", "workouts"],
        "real_time_sync": true,
        "independent_app": true
      },
      {
        "type": "fitbit", 
        "integration_method": "api",
        "sync_frequency": "hourly"
      }
    ]
  }
}

🔄 Complete Example: Fitness App

Click to see complete example

{
  "feed_type": "mobile-app",
  "metadata": {
    "title": "FitTracker Pro - AI Fitness Companion",
    "app_name": "FitTracker Pro",
    "version": "4.1.2",
    "platform": ["ios", "android", "web"],
    "app_id": {
      "ios": "com.fittracker.pro",
      "android": "com.fittracker.pro.android", 
      "web": "app.fittracker.com"
    },
    "origin": "https://fittracker.com",
    "developer": "FitTech Solutions",
    "category": "health-fitness",
    "generated_at": "2025-06-10T14:30:00Z"
  },

  "app_store": {
    "ios": {
      "store_url": "https://apps.apple.com/app/fittracker-pro/id987654321",
      "rating": 4.8,
      "downloads": "1M+",
      "minimum_version": "15.0"
    },
    "android": {
      "store_url": "https://play.google.com/store/apps/details?id=com.fittracker.pro.android",
      "rating": 4.7,
      "downloads": "5M+",
      "minimum_api_level": 26
    }
  },

  "voice_commands": [
    {
      "intent": "start_workout",
      "phrases": ["start my workout", "begin exercise", "let's work out"],
      "deep_link": "fittracker://workout/start",
      "requires_app": true
    },
    {
      "intent": "check_progress", 
      "phrases": ["how am I doing", "show my progress", "fitness stats"],
      "deep_link": "fittracker://stats/overview"
    }
  ],

  "agent_capabilities": [
    {
      "name": "createWorkoutPlan",
      "description": "Generate personalized workout plan based on user goals",
      "method": "POST",
      "deep_link": "fittracker://api/workout-plan/create",
      "parameters": {
        "goal": ["weight_loss", "muscle_gain", "endurance"],
        "experience": ["beginner", "intermediate", "advanced"],
        "duration_weeks": "integer"
      },
      "requires_user_consent": false,
      "ai_generated": true
    },
    {
      "name": "getHealthInsights",
      "description": "Analyze user health data and provide insights",
      "method": "GET", 
      "deep_link": "fittracker://api/insights",
      "requires_user_consent": true,
      "privacy_level": "high",
      "data_retention": "30_days"
    }
  ],

  "notifications": {
    "agent_triggers": [
      {
        "event": "workout_milestone",
        "agent_action": "congratulate_and_suggest_next",
        "webhook": "https://api.fittracker.com/webhooks/milestone"
      },
      {
        "event": "missed_workout",
        "agent_action": "motivational_reminder",
        "timing": "next_day_morning"
      }
    ]
  },

  "privacy": {
    "data_collection": {
      "health_metrics": {
        "consent_required": true,
        "granular_control": true,
        "export_available": true
      }
    },
    "agent_permissions": {
      "default_access": "basic_stats_only",
      "user_controlled": true,
      "audit_trail": true
    }
  },

  "agent_guidance": {
    "interaction_tone": "encouraging",
    "privacy_hints": "Always ask before accessing detailed health data",
    "fallback_behavior": "offer_web_version_if_app_unavailable"
  },

  "trust": {
    "signed_blocks": ["metadata", "agent_capabilities", "privacy", "trust"],
    "scope": "public",
    "certifier": "https://llmca.org",
    "health_data_certified": true
  },

  "signature": {
    "value": "base64-encoded-signature...",
    "created_at": "2025-06-10T14:30:00Z"
  }
}

🚀 Future Possibilities

AI-native mobile apps designed primarily for agent interaction
Cross-app agent workflows ("Order food, then log it in fitness app")
Voice-first mobile experiences with visual fallbacks
Agent-generated app content (personalized workouts, meal plans)
Real-time health monitoring with AI intervention capabilities

🔗 API Bridge: Seamless Agent-to-App Integration

The Revolution: Make Mobile Apps "Invisible"

Instead of: "Open HealthSync and log my workout"
Enable: "Log my workout" → Agent does it via API, no app opening needed.

{
  "api_bridge": {
    "base_url": "https://api.healthsync.com/v1",
    "discovery_endpoint": "/agent-capabilities.llmfeed.json",
    "authentication": {
      "methods": ["oauth2", "api_key", "agent_token"],
      "user_consent_flow": "https://healthsync.com/agent-auth/{agent_id}",
      "scopes": ["read_health", "write_workouts", "read_stats", "notifications"]
    },
    "rate_limits": {
      "tier_free": "100/hour",
      "tier_premium": "1000/hour", 
      "tier_enterprise": "unlimited"
    }
  }
}

Seamless Capability Mapping

{
  "seamless_capabilities": [
    {
      "agent_command": "log my workout",
      "natural_variations": [
        "I just finished running",
        "record my exercise", 
        "I did 30 minutes of yoga"
      ],
      "api_endpoint": {
        "method": "POST",
        "path": "/workouts",
        "parameters": {
          "type": "string",
          "duration": "integer", 
          "calories": "integer",
          "notes": "string"
        }
      },
      "mobile_fallback": "healthsync://workout/new",
      "success_response": "Great! I logged your {type} workout. You burned {calories} calories!"
    },
    {
      "agent_command": "show my health stats",
      "api_endpoint": {
        "method": "GET",
        "path": "/stats/summary",
        "response_format": "agent_friendly"
      },
      "agent_response_template": "This week you've {steps} steps, {workouts} workouts, and your average heart rate was {hr} bpm.",
      "visualization_option": "healthsync://stats/detailed"
    },
    {
      "agent_command": "schedule my workout",
      "api_endpoint": {
        "method": "POST", 
        "path": "/schedule/workout",
        "parameters": {
          "datetime": "iso_string",
          "type": "string",
          "reminder": "boolean"
        }
      },
      "integration": {
        "calendar_sync": true,
        "notification_setup": true
      }
    }
  ]
}

Agent Authentication Flow

{
  "agent_auth": {
    "initial_setup": {
      "user_initiated": true,
      "flow": [
        "User: 'Connect HealthSync to my assistant'",
        "Agent: Opens auth URL with agent identification",
        "User: Grants permissions (granular control)",
        "App: Returns agent_token with specific scopes",
        "Agent: Can now act on behalf of user"
      ]
    },
    "token_management": {
      "duration": "90_days",
      "refresh_available": true,
      "revocation": "user_controlled",
      "audit_trail": "full_logging"
    },
    "security": {
      "encryption": "end_to_end",
      "user_verification": "required_for_sensitive_actions",
      "suspicious_activity_detection": true
    }
  }
}

Response Formats for Agents

{
  "agent_response_formats": {
    "conversational": {
      "description": "Natural language responses for voice/chat agents",
      "example": {
        "request": "GET /stats/summary?format=conversational",
        "response": {
          "message": "You're doing great this week! You've walked 45,000 steps and completed 4 workouts. Your sleep average is 7.2 hours.",
          "suggestions": ["Want to schedule tomorrow's workout?", "Should I analyze your progress trend?"]
        }
      }
    },
    "structured": {
      "description": "Structured data for programmatic agents",
      "example": {
        "request": "GET /stats/summary?format=structured", 
        "response": {
          "metrics": {
            "steps": 45000,
            "workouts": 4,
            "sleep_hours": 7.2
          },
          "achievements": ["weekly_goal_reached"],
          "next_actions": ["schedule_workout", "update_goals"]
        }
      }
    }
  }
}

Cross-Agent Coordination

{
  "multi_agent_support": {
    "agent_handoff": {
      "scenario": "User switches from Siri to ChatGPT mid-conversation",
      "session_continuity": true,
      "context_sharing": "https://api.healthsync.com/agent-context/{session_id}"
    },
    "collaborative_agents": [
      {
        "use_case": "nutrition_tracking",
        "flow": [
          "FoodTracker agent logs meal via API",
          "HealthSync agent receives nutrition data",
          "Combined insights: 'Based on your lunch, I suggest a lighter workout'"
        ]
      }
    ]
  }
}

Smart Fallback System

{
  "intelligent_fallbacks": {
    "api_unavailable": {
      "action": "graceful_degradation",
      "message": "I'll note that for you and sync it to HealthSync when you're back online",
      "offline_storage": true
    },
    "complex_interaction_needed": {
      "action": "mobile_app_handoff",
      "message": "This needs visual input. Let me open HealthSync for you.",
      "deep_link": "healthsync://camera/workout-form-analysis"
    },
    "permission_required": {
      "action": "consent_request",
      "message": "I need permission to access your heart rate data. Should I open the privacy settings?"
    }
  }
}

Real-World Seamless Interactions

Health & Fitness

{
  "seamless_interactions": [
    {
      "user_input": "I ran 5 miles this morning",
      "agent_action": "POST /workouts with auto-detected data",
      "agent_response": "Excellent! That's your longest run this month. Your pace improved by 30 seconds per mile!",
      "background_actions": ["update_weekly_goals", "suggest_recovery_time"]
    },
    {
      "user_input": "How am I doing with my fitness goals?",
      "agent_action": "GET /analytics/progress", 
      "agent_response": "You're 85% toward your monthly goal! 3 more workouts and you'll hit it.",
      "proactive_suggestions": ["schedule_next_workout", "adjust_goals_if_needed"]
    }
  ]
}

E-commerce

{
  "shopping_interactions": [
    {
      "user_input": "Order my usual coffee",
      "agent_action": "POST /orders with saved_preferences",
      "agent_response": "Ordered your medium oat milk latte. It'll be ready in 8 minutes at the downtown location.",
      "integration": ["payment_processed", "pickup_notification_scheduled"]
    }
  ]
}

Banking

{
  "banking_interactions": [
    {
      "user_input": "How much did I spend on groceries this month?",
      "agent_action": "GET /transactions/categorized?category=groceries",
      "security": "biometric_verification_required",
      "agent_response": "You've spent $342 on groceries this month, which is $28 under your budget.",
      "insights": ["suggest_budget_optimization", "show_trending_merchants"]
    }
  ]
}

Developer Integration Guide

{
  "integration_requirements": {
    "mandatory": [
      "Agent-friendly endpoints with natural language responses",
      "OAuth2 flow for agent authentication", 
      "Rate limiting with clear quotas",
      "Error handling with user-friendly messages"
    ],
    "recommended": [
      "Webhook notifications for status updates",
      "Context preservation across agent sessions",
      "Multi-agent coordination APIs",
      "Offline capability with sync"
    ],
    "advanced": [
      "Real-time WebSocket for live data",
      "AI-powered response personalization", 
      "Cross-app data sharing protocols",
      "Predictive pre-loading of likely requests"
    ]
  }
}

Business Model Implications

{
  "business_considerations": {
    "user_experience": {
      "positive": "Seamless, voice-first interactions",
      "concern": "Reduced app engagement and screen time"
    },
    "monetization": {
      "opportunities": [
        "Premium API tiers for agents",
        "Agent-driven feature upsells",
        "Cross-app integration partnerships"
      ],
      "adaptations": [
        "Value delivery via API, not just UI",
        "Agent-optimized subscription tiers"
      ]
    },
    "competitive_advantage": {
      "early_adopters": "First-mover advantage in agent economy",
      "network_effects": "More agent integrations = more user value"
    }
  }
}

🎯 The Vision: Post-App Era

User Experience Transformation

BEFORE (App-Centric):
User: "I need to track my workout"
→ Opens phone
→ Finds HealthSync app  
→ Navigates to workout logging
→ Fills out form
→ Saves data

AFTER (Agent-Centric):
User: "I just finished a 5-mile run"
Agent: "Great! Logged your run. That's a new personal best pace!"
→ Everything handled seamlessly via API
→ User gets value without touching phone

The Invisible App Revolution

Apps become capability providers rather than user interfaces:

Users interact via natural conversation
Agents orchestrate app functionality
Mobile apps become specialized for complex/visual tasks
APIs become the primary interaction layer

Implementation Roadmap

Phase 1: Add API bridge to existing mobile-app feeds
Phase 2: Build agent authentication flows
Phase 3: Create conversational response formats
Phase 4: Enable cross-app agent workflows
Phase 5: Full voice-first, seamless app interactions

🌐 Web-to-Mobile Discovery & Configuration

Auto-Discovery via Website `.well-known/`

The mobile app's website can expose MCP feeds to enable agent discovery and configuration, even when the app isn't installed:

// https://healthsync.com/.well-known/mobile-app.llmfeed.json
{
  "feed_type": "mobile-app",
  "metadata": {
    "title": "HealthSync Mobile App Discovery",
    "origin": "https://healthsync.com"
  },
  "app_discovery": {
    "available_platforms": ["ios", "android", "web"],
    "install_flow": {
      "agent_assisted": true,
      "onboarding_dialogue": true,
      "configuration_help": true
    }
  },
  "web_capabilities": [
    {
      "name": "discoverAppFeatures",
      "description": "Agent can explain app capabilities to user",
      "method": "GET",
      "path": "/api/app-info"
    },
    {
      "name": "configureAppSettings", 
      "description": "Pre-configure app settings via web before install",
      "method": "POST",
      "path": "/api/pre-configure",
      "requires_user_consent": true
    }
  ]
}

Agent-Assisted App Onboarding

{
  "onboarding_dialogue": {
    "agent_prompts": [
      {
        "step": "app_discovery",
        "agent_script": "I found HealthSync has a mobile app that can track your fitness goals. Would you like me to help you set it up?",
        "user_options": ["install_now", "learn_more", "maybe_later"]
      },
      {
        "step": "platform_selection",
        "agent_script": "I can see you're using {device_type}. Should I open the {app_store} for you?",
        "deep_links": {
          "ios": "https://apps.apple.com/app/healthsync/id123456789",
          "android": "https://play.google.com/store/apps/details?id=com.healthsync.android"
        }
      },
      {
        "step": "feature_explanation",
        "agent_script": "While you install, let me explain the key features: automatic workout tracking, AI insights, and voice commands like 'log my run'.",
        "preparation_actions": ["pre_configure_preferences", "prepare_sync_data"]
      }
    ]
  }
}

Cross-Platform Capability Bridge

{
  "capability_bridge": {
    "web_fallbacks": [
      {
        "mobile_capability": "logWorkout", 
        "web_equivalent": "/dashboard/log-workout",
        "agent_explanation": "You can log workouts here on the web, then sync to mobile later"
      },
      {
        "mobile_capability": "viewStats",
        "web_equivalent": "/dashboard/statistics", 
        "real_time_sync": true
      }
    ],
    "progressive_enhancement": {
      "web_only": "basic_tracking",
      "web_plus_mobile": "advanced_tracking_plus_voice",
      "mobile_plus_wearables": "comprehensive_health_ecosystem"
    }
  }
}

Agent Configuration Flow

{
  "agent_configuration": {
    "pre_install_setup": [
      {
        "step": "preferences_gathering",
        "agent_questions": [
          "What are your main fitness goals?",
          "Do you prefer morning or evening workouts?", 
          "Would you like me to set up voice commands?"
        ],
        "storage": "temporary_session_for_app_handoff"
      },
      {
        "step": "integration_setup",
        "agent_actions": [
          "Check for compatible wearables",
          "Prepare data import from other fitness apps",
          "Configure notification preferences"
        ]
      }
    ],
    "post_install_handoff": {
      "deep_link": "healthsync://onboarding/agent-configured?session={session_id}",
      "data_transfer": "encrypted_preferences_bundle",
      "agent_introduction": "I've pre-configured your settings. Try saying 'Hey Siri, log my workout' to test voice commands."
    }
  }
}

Lite Capabilities for Non-Installed Apps

{
  "lite_capabilities": {
    "description": "Core app functions available via web while user decides to install",
    "capabilities": [
      {
        "name": "tryWorkoutPlanning",
        "description": "Generate sample workout plan to show app value",
        "web_demo": true,
        "converts_to_mobile": "full_workout_tracking"
      },
      {
        "name": "healthAssessment",
        "description": "Quick health quiz that demonstrates AI insights",
        "demo_mode": true,
        "upgrade_prompt": "Get personalized insights by installing the full app"
      }
    ]
  }
}

Installation Analytics & Optimization

{
  "installation_analytics": {
    "agent_attribution": true,
    "conversion_tracking": [
      "agent_interaction_to_install",
      "web_demo_to_install", 
      "configuration_completion_rate"
    ],
    "optimization_metrics": [
      "dialogue_effectiveness",
      "user_satisfaction_post_install",
      "feature_adoption_rate"
    ]
  }
}

🎯 Complete Web-to-Mobile User Journey

Scenario: Health-Conscious User

**Discovery**: User asks ChatGPT "Help me track my fitness"
**Agent Discovery**: Agent finds healthsync.com/.well-known/mobile-app.llmfeed.json
**Explanation**: "I found HealthSync - it has AI coaching and voice tracking"
**Demo**: Agent shows web demo of workout planning
**Configuration**: Agent asks preferences while user is engaged
**Installation**: "Should I open the App Store for you?"
**Handoff**: App opens with pre-configured settings
**Integration**: "Try saying 'log my workout' to test voice commands"
**Success**: User has fully configured, agent-ready health app

Value Proposition

Stakeholder	Benefit
Users	Seamless onboarding, pre-configured apps, educated about features
App Developers	Higher conversion rates, better user activation, agent-driven growth
Agents	Can recommend and set up mobile apps intelligently
MCP Ecosystem	Bridge between web agents and mobile capabilities

🛠️ Implementation Guide

For App Developers

Add to website /.well-known/mobile-app.llmfeed.json
Create web demos of key mobile features
Build configuration API for pre-install setup
Add agent handoff deep links to mobile app
Track agent-driven installs for optimization

For Web Agents

Check for mobile-app feeds when users ask about functionality
Offer app installation help with context and value explanation
Use lite capabilities to demonstrate value before install
Handle configuration dialogue to reduce app onboarding friction
Provide post-install support via voice commands and feature education

capabilities.llmfeed.json — For web API capabilities
session.llmfeed.json — For cross-platform session continuity
Agent Behavior Guidelines — Safe agent interaction patterns
Privacy Extensions — Advanced privacy controls

This specification enables the next generation of agent-aware mobile applications — where voice assistants, AI companions, and autonomous agents can discover, understand, and interact with mobile apps as seamlessly as humans do.

🎯 Purpose​

🌍 Why Mobile Apps Need Agent Integration​

The Problem​

The Solution​

📱 Core Structure​

🔗 App Store Integration​

🎙️ Voice Assistant Integration​

Basic Voice Commands​

Advanced Agent Integration​

🔄 Cross-Platform Workflows​

Agent-to-App Data Flow​

Multi-App Coordination​

🔔 Push Notifications & Agent Triggers​

🛡️ Privacy & Security​

🎯 Real-World Use Cases​

1. Health & Fitness Apps​

2. E-commerce Apps​

3. Banking Apps​

🤖 Agent Behavior Guidelines​

📊 Analytics & Insights​

🔗 Platform-Specific Extensions​

iOS Shortcuts Integration​

Android Tasker/Google Assistant​

🌟 Advanced Features​

AR/VR Integration​

Wearable Device Integration​

🔄 Complete Example: Fitness App​

🚀 Future Possibilities​

🔗 API Bridge: Seamless Agent-to-App Integration​

The Revolution: Make Mobile Apps "Invisible"​

Seamless Capability Mapping​

Agent Authentication Flow​

Response Formats for Agents​

Cross-Agent Coordination​

Smart Fallback System​

Real-World Seamless Interactions​

Health & Fitness​

E-commerce​

Banking​

Developer Integration Guide​

Business Model Implications​

🎯 The Vision: Post-App Era​

User Experience Transformation​

The Invisible App Revolution​

Implementation Roadmap​

🌐 Web-to-Mobile Discovery & Configuration​

Auto-Discovery via Website .well-known/​

Agent-Assisted App Onboarding​

Cross-Platform Capability Bridge​

Agent Configuration Flow​

Lite Capabilities for Non-Installed Apps​

Installation Analytics & Optimization​

🎯 Complete Web-to-Mobile User Journey​

Scenario: Health-Conscious User​

Value Proposition​

🛠️ Implementation Guide​

For App Developers​

For Web Agents​

📚 Related Documentation​