AI WhatsApp Auto-Handler Project Brief

🎯 Problem Statement

Personal Challenge:

• Overwhelmed by multiple WhatsApp conversations
• Difficulty prioritizing which messages to respond to first
• Anxiety when notifications pile up
• Need for deep focus time without constant interruptions
• ADHD/INTP traits: procrastination in responding, overthinking replies, perfectionist paralysis
• Feel burdened by constant need to provide service/responses to others

Core Pain Points:

1. Information overload from multiple chat sources
2. Difficulty switching between focus mode and social availability
3. Guilt/anxiety from delayed responses
4. Executive dysfunction in organizing and prioritizing communications
5. Need for boundaries without seeming rude or unresponsive

🎨 Vision & Solution

Main Goal: Create an AI-powered WhatsApp assistant that handles routine communications while preserving authentic personal connections.

Key Features:

• Smart Auto-Reply System: Context-aware responses that match your communication style
• Mode Detection: Automatically switches between "Focus Mode" and "Social Mode"
• Intelligent Filtering: Distinguishes urgent vs casual messages
• Relationship Mapping: Different response strategies for family, friends, work contacts
• Learning System: Improves responses based on your patterns and feedback

🏗️ Technical Architecture

Foundation:

• Base: aldinokemal/go-whatsapp-web-multidevice (Go-based WhatsApp Web API)
• Backend: Go for WhatsApp integration
• AI Processing: Local LLM (Ollama) or Cloud API (OpenAI/Anthropic)
• Database: SQLite for development, PostgreSQL for production
• Frontend: Optional web dashboard for configuration

Core Components:

1. Message Interceptor: Captures incoming WhatsApp messages
2. Context Analyzer: Determines message urgency, sender relationship, topic
3. Mode Detector: Identifies current user state (focus/available/busy)
4. Response Generator: Creates appropriate replies based on context and mode
5. Learning Engine: Tracks response success and user corrections
6. Control Interface: Manual override and configuration system

🔄 Mode System Design

Focus Mode

• Triggers: Calendar events, work hours, manual activation
• Behavior:
  • Auto-reply: "Currently in focus mode, will respond later"
  • Queue non-urgent messages
  • Only escalate true emergencies
  • Block group chat notifications

Social Mode

• Triggers: Free time, weekends, manual activation
• Behavior:
  • Engage in casual conversation
  • Quick replies to simple questions
  • Proactive follow-up questions
  • Handle small talk naturally

Smart Detection Methods

• Calendar integration (focus blocks)
• Activity monitoring (work apps usage)
• Time-based patterns (work hours vs personal time)
• Manual commands via special chat interface
• Heart rate/stress level integration (advanced)

📊 Implementation Phases

Phase 1: Basic Bot (MVP)

• Problem identification
• Set up go-whatsapp-web-multidevice
• Create simple auto-reply functionality
• Basic message logging and filtering
• Manual mode switching

Success Criteria: Bot can send automatic replies and log conversations

Phase 2: Smart Responses

• Integrate AI for context-aware responses
• Implement personality matching (mimic user's communication style)
• Create response templates for common scenarios
• Add keyword-based urgency detection

Success Criteria: Responses feel natural and match user's tone

Phase 3: Mode Intelligence

• Automatic mode detection based on calendar/activity
• Different response strategies per mode
• Learning system for improving mode detection
• User feedback integration

Success Criteria: System accurately detects and responds according to user's availability

Phase 4: Relationship Awareness

• Contact categorization (family/friends/work)
• Personalized response strategies per relationship type
• Conversation history analysis
• Adaptive learning per contact

Success Criteria: Different contacts receive appropriately tailored responses

Phase 5: Advanced Features & Polish

• Web dashboard for configuration
• Analytics and reporting
• Multi-language support
• API for third-party integrations
• Mobile companion app

Success Criteria: Production-ready system with full feature set

🛠️ Development Environment Setup

Prerequisites:

- Go 1.19+
- WhatsApp account for testing
- API keys for chosen AI service
- Git for version control

Initial Setup Commands:

git clone https://github.com/aldinokemal/go-whatsapp-web-multidevice
cd go-whatsapp-web-multidevice
go mod download
# Follow repo setup instructions

📝 Key Design Decisions to Make

1. AI Service Choice: Local LLM vs Cloud API (cost vs privacy)
2. Response Strategy: Conservative (safe) vs Engaging (risky but natural)
3. Data Storage: What conversation data to keep vs privacy concerns
4. User Interface: Command-line, web dashboard, or mobile app
5. Deployment: Self-hosted vs cloud service

🎯 Success Metrics

Personal Success:

• Reduced anxiety about unread messages
• Improved focus time without communication guilt
• Maintained relationships despite delayed personal responses
• Increased productivity during focus periods

Technical Success:

• 95%+ uptime for message handling
• <2 second response time for auto-replies
• 80%+ user satisfaction with AI responses
• Minimal false positives on urgency detection

🚀 Getting Started Checklist

When you're ready to begin:

• Review and update this prompt based on current needs
• Set up development environment
• Create a test WhatsApp account
• Clone the base repository
• Define your personal communication patterns and preferences
• Start with Phase 1: Basic Bot implementation

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This project aims to solve the modern communication overload problem while respecting personal boundaries and maintaining authentic relationships. The key is building a system that amplifies your personality rather than replacing it.