Feed Type: mobile-app.llmfeed.json — The Complete Specification
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**
1. **Discovery**: User asks ChatGPT "Help me track my fitness"
2. **Agent Discovery**: Agent finds healthsync.com/.well-known/mobile-app.llmfeed.json
3. **Explanation**: "I found HealthSync - it has AI coaching and voice tracking"
4. **Demo**: Agent shows web demo of workout planning
5. **Configuration**: Agent asks preferences while user is engaged
6. **Installation**: "Should I open the App Store for you?"
7. **Handoff**: App opens with pre-configured settings
8. **Integration**: "Try saying 'log my workout' to test voice commands"
9. **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
📚 Related Documentation
- `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.
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