Q3 - Generate & Deliver

Milestone 3.1

Content Generation Agent

Weeks 25-28

Generate personalized newsletter content from analysis results with AI-powered insights and executive-friendly formatting.

✅ Content Generation Agent implementation (packages/agents/content-generation/)
✅ AI integration package (packages/ai/):
- OpenAI client wrapper with retry logic
- Prompt template system
- Token usage tracking
- Response caching
- Cost optimization
✅ Dynamic newsletter section generation:
- Executive summary generation (2-3 sentences, aggregates all analysis types)
- Key insights extraction (top 3-5 with priorities, across all analysis plugins)
- Dynamic analysis sections (generated based on available analysis plugin results):
  - Competitive landscape section (from competitive analysis plugin)
  - Sentiment section (from sentiment analysis plugin)
  - Event/context section (from event analysis plugin)
  - Additional sections for any registered analysis plugins
- Action items generation (optional)
- Section mapping system for analysis plugins
✅ Personalization system:
- User preference integration
- Detail level adjustment (high/medium/low)
- Focus area emphasis
- Tone customization
✅ Template system:
- Email HTML template (packages/email/templates/)
- Dashboard HTML template
- Markdown template
- Responsive email design
✅ A/B testing framework integration:
- Variant selection
- Content structure variations
- Style variations
✅ Newsletter formatting and rendering
✅ Chart data generation for visualizations
✅ Quality validation (length, structure, completeness)

Quality Assurance Agent

Weeks 29-32

Implement comprehensive quality assurance and compliance checking.

✅ Quality Assurance Agent implementation (packages/agents/quality-assurance/)
✅ Fact-checking system:
- Claim extraction from newsletter content
- Cross-reference with source data
- Number verification (prices, metrics, dates)
- Quote and attribution verification
- AI-powered complex claim verification
✅ Quality assessment:
- Readability analysis (sentence length, complexity)
- Completeness check (required sections present)
- Consistency check (contradiction detection)
- Grammar and spelling check
- Overall quality score calculation
✅ Compliance checking:
- Disclaimer verification
- Financial advice language detection
- Data attribution verification
- Regulatory compliance check
✅ Issue aggregation and prioritization:
- Severity classification (critical/warning/info)
- Recommendation generation
- Fix suggestions
✅ Approval workflow:
- Pass/fail decision logic
- Revision requirement detection
- Auto-approval for high-quality content
✅ QA metrics tracking
✅ Integration with Content Generation Agent for revisions

Delivery Agent

Weeks 33-36

Implement reliable newsletter delivery via email and dashboard updates.

✅ Delivery Agent implementation (packages/agents/delivery/)
✅ Email delivery system:
- Email provider integration (Resend/SendGrid)
- HTML template rendering with newsletter content
- Personalization per recipient
- Batch sending with rate limiting
- Retry logic with exponential backoff
- Delivery status tracking
✅ Email tracking:
- Open tracking pixels
- Click tracking links
- Unsubscribe link management
- Bounce handling
✅ Dashboard update system:
- Newsletter storage to database
- User feed updates
- Cache invalidation
- Notification system
✅ Delivery metrics:
- Delivery success/failure rates
- Delivery time tracking
- Error logging and reporting
✅ Integration with Learning Agent for metrics collection
✅ Comprehensive test suite

Learning Agent

Weeks 37-40

Implement continuous learning and optimization based on user feedback and engagement metrics.

✅ Learning Agent implementation (packages/agents/learning/)
✅ Metrics collection system:
- Engagement metrics aggregation (opens, clicks, time spent)
- User feedback collection (ratings, comments)
- Newsletter performance tracking
- Agent performance metrics collection
✅ Engagement analysis:
- Average engagement rate calculations
- Trend detection (increasing/decreasing/stable)
- Top/low performing content section identification
- User segment analysis
✅ Feedback analysis:
- Rating aggregation and averaging
- AI-powered comment analysis for themes and sentiment
- Actionable suggestion extraction
✅ Agent performance analysis:
- Execution time analysis
- Success rate tracking
- Quality score monitoring
- Bottleneck identification
✅ A/B test management:
- Variant performance comparison
- Statistical significance calculation
- Winner determination
- Traffic split optimization
✅ Optimization recommendations:
- AI-powered config optimization suggestions
- Expected improvement calculations
- Confidence scoring
✅ Auto-update system (optional):
- Configuration update automation
- A/B test traffic split updates
✅ Learning metrics dashboard
✅ Comprehensive test suite