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PRUDE

AI-Powered Message Triage & Workflow Automation System

Prude - AI Message Triage System

OVERVIEW

Prude is an event-driven AI message triage system that processes incoming messages through AWS Bedrock for intelligent classification and summarization. The system routes messages to appropriate actions (reply, calendar, task creation) with human-in-the-loop feedback mechanisms and confidence scoring.

THE CHALLENGE

Processing high volumes of messages in real-time while maintaining accuracy and low latency. Initial implementation faced AWS Bedrock throttling issues (429 errors) under load, requiring sophisticated optimization strategies.

THE SOLUTION

Architecture

Built an event-driven architecture with the following components:

  • Event-Driven Ingestion: Messages are ingested through EventBridge, enabling scalable and decoupled processing
  • AI Classification & Summarization: AWS Bedrock powers intelligent message understanding and categorization
  • Action Routing: Messages are automatically routed to appropriate actions (reply, calendar, task) based on classification
  • Human-in-the-Loop: Feedback mechanisms allow users to correct and improve the system's accuracy
  • Confidence Scoring: Each classification includes a confidence score for transparency and quality control

Performance Optimizations

During testing, uncovered AWS Bedrock throttling issues (429 errors) under high load. Implemented comprehensive solutions:

  • Rate Limiting: Intelligent rate limiting to prevent API throttling
  • Queueing: Message queueing system to handle bursts and maintain throughput
  • Batching: Request batching to maximize API efficiency
  • Redis Caching: Caching layer to reduce redundant API calls
  • Lambda Warm Pools: Pre-warmed Lambda functions to eliminate cold starts

RESULTS

  • Latency: Reduced from 2s to <400ms under 100× load
  • Accuracy: Achieved ~95% classification accuracy
  • Efficiency: Reduced manual triage workload by ~40%
  • Reliability: Zero failed runs post-optimization

TECH STACK

  • AWS Bedrock: AI/ML model inference
  • AWS Lambda: Serverless compute for processing
  • AWS EventBridge: Event-driven architecture
  • AWS Step Functions: Workflow orchestration
  • Redis: Caching layer for performance
  • DynamoDB: State management and message storage
  • SQS/SNS: Message queueing and notifications

KEY FEATURES

  • Real-time message processing
  • Intelligent classification and summarization
  • Automated action routing
  • Human-in-the-loop feedback
  • Confidence scoring
  • High-performance optimization
  • Scalable event-driven architecture