The Technical Solution: Smart Message Queueing

Our workflow uses an elegant buffering system to combine related messages:

1. Message Capture: As messages arrive in Telegram, they're stored in a Supabase PostgreSQL table
2. Smart Buffering: The system waits 10 seconds (configurable) to allow for additional messages
3. Unified Processing: Messages from the same user are combined into one conversation thread
4. Contextual Response: The AI agent processes the complete message set and provides a single comprehensive answer
5. Queue Cleaning: Processed messages are removed from the queue to maintain system performance

This approach perfectly matches how people naturally communicate while maintaining the efficiency of your AI system.