Personalized Content Generation - Quick Reference

TL;DR

Build a Personalized Content Generation Service in 6-8 weeks by leveraging 80% existing RecoAgent capabilities. Generate blog posts, emails, social media content with brand voice consistency, user personalization, and compliance checking.

What We're Building

┌─────────────────────────────────────────────────────┐
│       Personalized Content Generation Service       │
├─────────────────────────────────────────────────────┤
│                                                     │
│  📝 Marketing Content    💼 Sales Content          │
│  • Blog posts            • Outreach emails         │
│  • Email campaigns       • Proposals               │
│  • Social media          • Case studies            │
│  • Product descriptions                            │
│                                                     │
│  ✅ Compliance Checker   🎨 Brand Voice System     │
│  • Brand guidelines      • Style consistency       │
│  • Legal review          • Tone matching           │
│  • Fact-checking         • Terminology enforcement │
│                                                     │
│  👥 Personalization      📊 Quality Assurance      │
│  • User segmentation     • Readability scoring     │
│  • Audience targeting    • SEO optimization        │
│  • Content adaptation    • Grammar checking        │
│                                                     │
└─────────────────────────────────────────────────────┘

What We Already Have ✅

Component	Completion	Location	Can Reuse
Report Generator	80%	`packages/agents/process_agents/report_generator.py`	✅ Yes
Content Formatting	85%	`packages/rag/structured_formatting.py`	✅ Yes
User Segmentation	75%	`packages/analytics/segmentation.py`	✅ Yes
Email Drafter	90%	`packages/agents/process_agents/email_drafter.py`	✅ Yes
Compliance Agent	70%	`packages/rag/compliance_agent.py`	✅ Yes
Prompt Optimization	85%	`packages/prompts/optimization.py`	✅ Yes
Template System	60%	`packages/use_case_components/templates/`	✅ Yes

Leverage Score: 80% of infrastructure already exists!

What We Need to Build 🔨

Component	Effort	Timeline
Content Templates	Medium	1-2 weeks
Brand Voice System	Medium	2-3 weeks
Marketing Generators	Low	1-2 weeks
Sales Generators	Low	1-2 weeks
Quality Scoring	Low	1 week
API Endpoints	Low	1 week

Total Timeline: 6-8 weeks

Libraries We'll Use

Already Integrated ✅

# Content Generation
langchain>=0.1.0              # LLM orchestration
openai>=1.12.0                # GPT-4o
sentence-transformers>=2.2.2  # Brand voice matching
spacy>=3.7.0                  # Style analysis
scikit-learn>=1.3.0           # User clustering
jinja2>=3.1.0                 # Templates

Will Add 📦

# Quality & Compliance
textstat==0.7.3                # Readability
language-tool-python==2.8.0    # Grammar
detoxify==0.5.0                # Content safety
copydetect==1.3.0              # Plagiarism
yake==0.4.8                    # SEO keywords

Total New Dependencies: 5 lightweight libraries

8-Week Implementation Plan

Phase 1: Foundation (Week 1-2)

✅ Service architecture
✅ Data models (Pydantic)
✅ API endpoints (FastAPI)
✅ Template infrastructure
✅ Testing framework

Phase 2: Marketing Content (Week 3-4)

✅ Blog post generator
✅ Email campaign generator
✅ Social media generator
✅ 40+ content templates
✅ RAG integration

Phase 3: Brand Voice (Week 4-5)

✅ Brand voice profiles
✅ Style consistency scorer
✅ Terminology enforcement
✅ Voice training interface

Phase 4: Sales Content (Week 5-6)

✅ Sales outreach generator
✅ Proposal generator
✅ Case study generator
✅ Personalized sequences

Phase 5: Compliance (Week 6-7)

✅ Marketing compliance rules
✅ Fact-checking integration
✅ Quality scoring
✅ Safety checks

Phase 6: Testing & Launch (Week 7-8)

✅ End-to-end testing
✅ Performance optimization
✅ Documentation
✅ Production deployment

Core API Endpoints

Generate Content

POST /api/v1/content/generate

Request:

{
  "content_type": "blog_post",
  "topic": "The Future of AI in Marketing",
  "audience_segment": "business_users",
  "tone": "professional",
  "brand_voice_id": "voice_abc123",
  "use_rag": true
}

Response:

{
  "content_id": "content_xyz789",
  "title": "The Future of AI in Marketing",
  "body": "...",
  "quality_scores": {
    "overall_quality": 0.92,
    "brand_voice_consistency": 0.95,
    "readability_score": 68.5,
    "seo_score": 85
  },
  "generation_time_seconds": 12.5,
  "cost": 0.045
}

Manage Brand Voice

POST /api/v1/brand-voices
GET  /api/v1/brand-voices
POST /api/v1/brand-voices/{voice_id}/analyze

Check Compliance

POST /api/v1/compliance/check
POST /api/v1/quality/analyze

Content Types Supported

Marketing Content

📝 Blog Posts: Long-form, SEO-optimized
📧 Email Campaigns: Personalized newsletters
📱 Social Media: LinkedIn, Twitter, Facebook posts
📦 Product Descriptions: E-commerce content
📄 Whitepapers: Technical deep-dives
📰 Press Releases: Company announcements

Sales Content

✉️ Outreach Emails: Personalized prospecting
📊 Proposals: Custom sales proposals
🎯 Case Studies: Customer success stories
🔄 Follow-up Sequences: Automated nurturing

Quality Metrics

Content Quality Scores (0-1)

Overall Quality: Comprehensive assessment
Brand Voice Consistency: Style matching
Engagement Prediction: Estimated engagement
Compliance Score: Guideline adherence

Readability Metrics

Flesch Reading Ease: 0-100 (higher = easier)
Grade Level: U.S. education grade level
Word Count: Total words
Reading Time: Estimated minutes

SEO Metrics

SEO Score: 0-100
Keyword Density: Target keyword usage
Meta Description: Auto-generated
Title Optimization: SEO-friendly titles

Brand Voice System

Define Brand Voice

brand_voice = BrandVoiceProfile(
    name="Company Professional",
    description="Authoritative yet approachable",
    tone=["professional", "friendly", "expert"],
    vocabulary_level="accessible",
    key_phrases=["innovative solutions", "customer-centric"],
    avoid_phrases=["cutting-edge", "revolutionary"],
    example_texts=[...]
)

Check Consistency

analyzer = BrandVoiceAnalyzer()
score = analyzer.analyze_consistency(
    text=generated_content,
    brand_voice=brand_voice
)
# Returns: 0.95 (95% consistent)

Personalization System

User Segments

Executives: High-level strategic content
Technical: Detailed, technical depth
Business Users: Practical, ROI-focused
Consumers: Simple, benefit-driven
Partners: Collaborative, mutual value
Investors: Financial, growth-focused

Personalization Example

# Generate for executive audience
content = await generator.generate(
    content_type=ContentType.BLOG_POST,
    topic="AI ROI",
    audience_segment=AudienceSegment.EXECUTIVES,
    tone=Tone.AUTHORITATIVE
)
# Result: High-level strategic perspective

# Same topic for technical audience
content = await generator.generate(
    content_type=ContentType.BLOG_POST,
    topic="AI ROI",
    audience_segment=AudienceSegment.TECHNICAL,
    tone=Tone.PROFESSIONAL
)
# Result: Technical implementation details

Compliance Checking

Brand Guidelines

✅ Terminology consistency
✅ Prohibited phrase detection
✅ Tone appropriateness
✅ Legal disclaimer inclusion

Content Safety

✅ Toxicity detection (detoxify)
✅ Inappropriate content filtering
✅ Sentiment validation

Quality Assurance

✅ Grammar checking (language-tool-python)
✅ Plagiarism detection (copydetect)
✅ Fact-checking (optional integration)

Cost Estimation

API Costs (per 1,000 content pieces)

Component	Cost
GPT-4o Generation	$15-30
RAG Retrieval	$0.10
Compliance Checking	$0.50
Infrastructure	$2-5
Total	$17.60-35.60

Monthly Projections

10,000 pieces: $176-356/month
100,000 pieces: $1,760-3,560/month
1M pieces: $17,600-35,600/month

Performance Targets

Metric	Target	Measurement
API Response Time	< 15s (p95)	Prometheus
Content Quality Score	> 0.85	Internal scoring
Brand Voice Consistency	> 0.90	Style matching
Compliance Pass Rate	> 95%	Validation
Uptime	> 99.5%	Monitoring

Success Metrics

Technical KPIs

✅ 10,000 content generations/month
✅ < 15s average generation time
✅ > 0.85 average quality score
✅ > 95% compliance pass rate

Business KPIs

✅ 40% higher conversion rates (vs non-personalized)
✅ 80% time saved vs manual creation
✅ > 4.2/5 user satisfaction
✅ < $0.05 cost per content piece

Your Competitive Edge

1. Report Generation Heritage ⭐

Professional, well-structured content
Multi-format export (PDF, DOCX, HTML)
Already proven in production

2. RAG Integration ⭐

Context-aware generation
Source verification
Factual grounding

3. User Segmentation ⭐

Data-driven personalization
Behavior-based targeting
Machine learning clustering

4. Compliance Expertise ⭐

Regulatory validation
Audit trails
Domain-specific rules

5. Quality Assurance ⭐

Multi-dimensional scoring
Automated validation
Continuous improvement

Quick Start (Development)

1. Install Dependencies

# Install new libraries
pip install textstat==0.7.3 \
            language-tool-python==2.8.0 \
            detoxify==0.5.0 \
            copydetect==1.3.0 \
            yake==0.4.8

2. Create Service Structure

mkdir -p packages/content_generation/{marketing,sales,brand_voice,quality}
mkdir -p data/content_templates/{blog,email,social}

3. Extend Existing Components

# Extend ReportGenerator for marketing
from packages.agents.process_agents.report_generator import ReportGenerator

class MarketingContentGenerator(ReportGenerator):
    """Marketing-specific content generation"""
    pass

4. Create Templates

<!-- data/content_templates/blog/tech_blog_post.html -->
# {{ title }}

{{ introduction }}

{% for section in sections %}
## {{ section.title }}
{{ section.content }}
{% endfor %}

{{ conclusion }}

5. Run API

# Start development server
uvicorn apps.api.content_generation_api:app --reload --port 8000

Documentation Links

Full Service Plan: SERVICE_PLAN.md
Library Comparison: LIBRARY_COMPARISON.md
User Guide: USER_GUIDE.md
Deployment Guide: DEPLOYMENT_GUIDE.md

Support & Questions

Internal Resources

Planning Doc: Full 15,000-word plan available
Team Expertise: Already have LangChain, RAG, compliance experience
Infrastructure: 80% already built and tested

Implementation Support

Phase-by-phase breakdown
Code templates and examples
Integration patterns documented

Decision Matrix

Should You Build This?

Question	Answer
Can leverage existing code?	✅ Yes (80%)
Market opportunity?	✅ Yes ($12B)
Team has expertise?	✅ Yes (LangChain, RAG)
Time to market?	✅ Fast (6-8 weeks)
ROI positive?	✅ Yes (40% conversion boost)
Infrastructure ready?	✅ Yes (mostly exists)

Recommendation: ✅ Proceed with implementation

Next Steps

This Week

✅ Review full service plan
✅ Approve architecture and timeline
✅ Set up project structure
✅ Define data models
✅ Create initial templates

Next Week

✅ Implement core generators
✅ Integrate existing components
✅ Create template library
✅ Set up testing framework
✅ Begin API development

Contact

For questions about this plan:

Technical Lead: Review full SERVICE_PLAN.md
Implementation Details: See LIBRARY_COMPARISON.md
Timeline Questions: See 8-week breakdown in SERVICE_PLAN.md

Quick Reference Version: 1.0
Last Updated: October 9, 2025
Status: Ready for Implementation

TL;DR​

What We're Building​

What We Already Have ✅​

What We Need to Build 🔨​

Libraries We'll Use​

Already Integrated ✅​

Will Add 📦​

8-Week Implementation Plan​

Phase 1: Foundation (Week 1-2)​

Phase 2: Marketing Content (Week 3-4)​

Phase 3: Brand Voice (Week 4-5)​

Phase 4: Sales Content (Week 5-6)​

Phase 5: Compliance (Week 6-7)​

Phase 6: Testing & Launch (Week 7-8)​

Core API Endpoints​

Generate Content​

Manage Brand Voice​

Check Compliance​

Content Types Supported​

Marketing Content​

Sales Content​

Quality Metrics​

Content Quality Scores (0-1)​

Readability Metrics​

SEO Metrics​

Brand Voice System​

Define Brand Voice​

Check Consistency​

Personalization System​

User Segments​

Personalization Example​

Compliance Checking​

Brand Guidelines​

Content Safety​

Quality Assurance​

Cost Estimation​

API Costs (per 1,000 content pieces)​

Monthly Projections​

Performance Targets​

Success Metrics​

Technical KPIs​

Business KPIs​

Your Competitive Edge​

1. Report Generation Heritage ⭐​

2. RAG Integration ⭐​

3. User Segmentation ⭐​

4. Compliance Expertise ⭐​

5. Quality Assurance ⭐​

Quick Start (Development)​

1. Install Dependencies​

2. Create Service Structure​

3. Extend Existing Components​

4. Create Templates​

5. Run API​

Documentation Links​

Support & Questions​

Internal Resources​

Implementation Support​

Decision Matrix​

Should You Build This?​

Next Steps​

This Week​

Next Week​

Contact​