---
created: 2025-01-09
lastUpdated: 2025-09-27T04:02:00
contextDate: 2025-09-27
tags: [project, active, ai, platform, daybreak]
rank: 9.0
status: active
---

# 🌅 Daybreak AI Development

> [!project] **AI Platform and Services Development**
> Building a comprehensive AI platform for intelligent automation and decision-making

---

## 🎯 Project Overview

### Objective
Develop a comprehensive AI platform that provides intelligent automation, decision-making capabilities, and AI-powered services for businesses and organizations.

### Business Value
- **Automation** - Automate complex business processes and workflows
- **Intelligence** - Provide AI-powered insights and decision support
- **Scalability** - Scale AI capabilities across multiple use cases
- **Innovation** - Drive innovation through AI-powered solutions

---

## 🔥 Key Deliverables

### Phase 1: Core Platform (Weeks 1-6) ✅
- [x] **AI Engine** - Core AI processing engine and framework
- [x] **API Gateway** - RESTful API for AI services
- [x] **Data Pipeline** - Data ingestion and processing pipeline
- [x] **Model Management** - AI model lifecycle management

### **Call Quality Scoring Feature** (Deployed 2025-09-19) ✅
- [x] **Objective Scoring System** - AI-powered call evaluation system
- [x] **Transcript Analysis** - Automatic call transcription and analysis
- [x] **Quality Metrics** - Comprehensive scoring parameters
- [x] **Admin Interface** - User-friendly scoring and management interface

### Phase 2: AI Services (Weeks 7-12)
- [ ] **Natural Language Processing** - NLP services and capabilities
- [ ] **Computer Vision** - Image and video processing services
- [ ] **Predictive Analytics** - Predictive modeling and analytics
- [ ] **Automation Engine** - Workflow automation and orchestration

### Phase 3: Advanced Features (Weeks 13-18)
- [ ] **Real-time Processing** - Real-time AI processing capabilities
- [ ] **Multi-tenant Architecture** - Multi-tenant platform architecture
- [ ] **Integration Hub** - Third-party service integrations
- [ ] **Analytics Dashboard** - AI performance and usage analytics

---

## 🛠️ Technical Stack

### Core Technologies
- **Python** - Primary development language
- **FastAPI** - Modern web framework for APIs
- **TensorFlow/PyTorch** - Machine learning frameworks
- **Redis** - Caching and session management

### AI/ML Technologies
- **OpenAI API** - GPT models and embeddings
- **Anthropic Claude** - Advanced language models
- **Hugging Face** - Pre-trained models and transformers
- **MLflow** - ML lifecycle management

### Infrastructure
- **AWS** - Cloud platform and services
- **Docker** - Containerization
- **Kubernetes** - Container orchestration
- **PostgreSQL** - Database for platform data

---

## 📊 Success Metrics

### Technical Metrics
- **API Response Time** - <200ms average API response time
- **Model Accuracy** - >90% accuracy for core AI models
- **System Uptime** - >99.9% platform availability
- **Scalability** - Handle 10,000+ concurrent requests

### Business Metrics
- **User Adoption** - 100+ active users within 6 months
- **Revenue Generation** - $X monthly recurring revenue
- **Customer Satisfaction** - >90% customer satisfaction
- **Market Position** - Top 3 AI platform in target market

---

## 🔗 Related Areas

- [[🤖 AI & Automation Thinking MOC]] - AI strategy and implementation
- [[🔧 Platform & Tool Building MOC]] - Platform development
- [[🚀 Revenue & Business Development MOC]] - Business development
- [[🧠 AI Development Patterns]] - Technical AI knowledge

---

## 📅 Timeline

### Q1 2025 (Jan-Mar)
- [ ] Complete core platform development
- [ ] Launch MVP with basic AI services
- [ ] Begin user testing and feedback

### Q2 2025 (Apr-Jun)
- [ ] Complete advanced AI services
- [ ] Launch full platform with all features
- [ ] Begin customer acquisition and growth

### Q3 2025 (Jul-Sep)
- [ ] Scale platform for growth
- [ ] Add advanced features and capabilities
- [ ] Establish market leadership position

---

## 🎯 Next Actions

### **Current Sprint** (Week of Sep 24, 2025)
- [ ] **Fix Versions Bug** - Resolve version information display issue (48-hour target)
- [ ] **Auto-scoring Fix** - Fix background job trigger for automatic scoring on upload
- [ ] **Title Fallback** - Add fallback logic for missing call title metadata
- [ ] **Fix Speaker Attribution** - Correct Caller/Agent labels for Jeff's recording (first one on list)
- [ ] **Re-score Fixed Recording** - Update scoring after correcting speaker attribution
- [ ] **Post Updated Result** - Share corrected scoring result with Jeff and Kristen
- [ ] **Check Other Recordings** - Look for similar speaker attribution issues across all recordings
- [ ] **CSR List Import** - Import team CSR list for dropdown functionality
- [ ] **Hold Detection** - Design and implement hold detection in transcripts
- [ ] **Feedback Loop** - Implement agree/disagree mechanism for AI scoring validation

### **Next Week**
- [ ] **User Training** - Conduct backend training session with Kristen Cillo
- [ ] **Staff Onboarding** - Enable staff to use system for message creation
- [ ] **Performance Optimization** - Optimize scoring system based on user feedback
- [ ] **Feature Enhancement** - Implement additional scoring parameters and metrics

---

## 📊 Current Status (as of 2025-09-24)

### **Call Quality Scoring Feature**
- **Deployment**: Successfully deployed to QA and PROD (Sep 19, 2025)
- **User Feedback**: Positive response from Jeff Mehl ("This looks amazing!!")
- **Active Testing**: Kristen Cillo providing detailed feedback and testing

### **Issues Identified & Resolved**
- **Versions Bug**: ✅ FIXED - Version information now displaying correctly in admin panel
- **Auto-scoring**: ✅ FIXED - Background job trigger now firing on upload
- **Call Titles**: ✅ FIXED - Added filename + date fallback for missing metadata
- **Speaker Attribution**: ✅ FIXED - Caller/Agent labels corrected for accurate scoring
- **CSR List**: 🚧 WORKING ON - Need team list import for dropdown functionality
- **Hold Detection**: 🚧 WORKING ON - Feature request for detecting holds during calls
- **Feedback Loop**: 🚧 WORKING ON - Need agree/disagree mechanism for AI scoring validation

### **Major Milestone Achieved** (Sep 26, 2025)
- **All Critical Bugs Fixed**: ✅ Versions, Auto-scoring, Title Fallback, Speaker Attribution
- **Deployment Success**: ✅ All fixes deployed to QA and Prod
- **Team Satisfaction**: ✅ Positive feedback from both Kristen and Jeff
- **System Fully Functional**: ✅ Call Quality Scoring system working perfectly

### **Next Sprint Actions** (Week of Sep 30, 2025)
- **CSR List Import**: Pull team list from database
- **Hold Detection**: Design complex hold calculation logic
- **Feedback Loop**: Implement agree/disagree mechanism
- **Automated Integration**: Plan AWS integration approach

---

## 💡 Key Features

### Core Platform Features
- **AI Engine** - Scalable AI processing engine
- **API Gateway** - RESTful API for all AI services
- **Data Pipeline** - Real-time data processing pipeline
- **Model Management** - Complete ML model lifecycle

### AI Services
- **Natural Language Processing** - Text analysis and generation
- **Computer Vision** - Image and video analysis
- **Predictive Analytics** - Forecasting and prediction
- **Automation Engine** - Workflow automation

### Platform Features
- **Multi-tenant Architecture** - Secure multi-tenant platform
- **Real-time Processing** - Real-time AI processing
- **Integration Hub** - Third-party service integrations
- **Analytics Dashboard** - Performance and usage analytics

---

## 🚀 Market Opportunity

### Target Market
- **Enterprise Customers** - Large organizations with complex AI needs
- **SMBs** - Small and medium businesses looking for AI solutions
- **Developers** - Developers building AI-powered applications
- **Consultants** - AI consultants and service providers

### Competitive Advantage
- **Ease of Use** - Simple, intuitive platform interface
- **Comprehensive** - Full-stack AI platform solution
- **Scalable** - Enterprise-grade scalability and performance
- **Innovative** - Cutting-edge AI technologies and features

---

## 🎯 Future Vision

### Short-term (6 months)
- **MVP Launch** - Launch minimum viable product
- **Customer Acquisition** - Acquire first 100 customers
- **Product-Market Fit** - Achieve product-market fit
- **Revenue Growth** - Generate $X monthly recurring revenue

### Long-term (12 months)
- **Market Leadership** - Become leading AI platform
- **Global Expansion** - Expand to global markets
- **Innovation** - Lead AI innovation and development
- **Ecosystem** - Build comprehensive AI ecosystem

---

> [!tip] **Remember**: The best AI platforms are invisible to users but powerful for developers. Focus on making AI accessible and easy to use! 💪

