Build complete: RateRight Phone AI system

Built all 4 phases of the AI phone answering system:

Phase 1: Vapi AI Assistants
- Created two assistants with Australian voice (Azure en-AU-NatashaNeural)
- Implemented conversation script for lead qualification
- Assistant IDs: 6485d7c9-ae5b-44cb-a4a9-3f9536753c5b (main), 9fcbe4cf-c435-4911-a755-b8e9e06bf216 (line2)

Phase 2: Twilio Integration
- Call forwarding logic with 25s timeout (5 rings)
- Setup script for configuring both phone lines
- TwiML generation for conditional forwarding

Phase 3: Growth Engine CRM
- Lead extraction from call transcripts
- Automatic logging to Growth Engine API
- Structured data capture (name, phone, trade, location, timeline)

Phase 4: Notifications
- Slack webhook integration with rich formatting
- SMS alerts via Twilio
- Instant notifications to Michael

Infrastructure:
- Express webhook server (port 3000)
- Modular architecture (<500 lines total)
- Setup scripts for easy deployment
- Test script for local development
- Comprehensive README and status docs

Next: Get Vapi phone numbers, configure env vars, deploy

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>