Product Requirements Document (PRD)

AI Blog Generator Platform

Executive Summary

Build an autonomous AI-powered blog generation platform that creates high-quality, research-backed, long-form content (2,000-3,000 words) that reads as human-written first-person narratives. The system will conduct real-time research, include data-driven calculations, and produce genuinely valuable content indistinguishable from expert human writers.

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Product Vision

Mission: Create an AI platform that doesn't just generate content—it conducts research, performs analysis, and writes authoritative articles that provide genuine value to readers while maintaining a distinct human voice.

Differentiation: Unlike generic AI writers, this platform:

• Conducts live web research for every article
• Includes real calculations and data analysis
• Writes in first-person with personality and opinion
• Creates content that passes AI detection
• Generates comprehensive 2,000-3,000 word pieces
• Builds thematic content collections

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Target Users

1. Solo Content Creators — Build authority blogs without writing
2. Marketing Teams — Scale content production with quality
3. Niche Site Builders — Create topical authority sites
4. Thought Leaders — Generate research-backed thought leadership
5. SEO Professionals — Create search-optimized comprehensive content

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Core Features & Requirements

Phase 1: Foundation (Weeks 1-2)

Goal: Basic platform with authentication and simple generation

Features:

1. User Authentication

   • Email/password login
   • Role-based access (admin/editor)
   • Session management

2. Basic Blog Generation

   • Topic input
   • Single AI call generation
   • 500-800 word output
   • Markdown formatting

3. Content Management

   • Draft/Published status
   • Basic editing interface
   • Slug generation

4. Database Schema

   • Users, Blogs, Themes tables
   • Generation history tracking

Success Criteria:

• User can log in and generate a basic blog
• Content saves to database
• Can view and edit generated content

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Phase 2: Research Engine (Weeks 3-4)

Goal: Add real-time research capabilities

Features:

1. Web Search Integration

   • Brave Search API integration
   • 10-15 relevant sources per article
   • Source credibility scoring
   • Automatic citation insertion

2. Research Summarization

   • Extract key statistics
   • Identify expert quotes
   • Find recent developments
   • Compile data points

3. Research Storage

   • Save research per generation
   • Reusable research across articles
   • Source library building

Success Criteria:

• Generated blogs include 5+ cited sources
• Research happens automatically pre-writing
• Sources are authoritative (news, .edu, .gov, established blogs)

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Phase 3: Advanced Writing Engine (Weeks 5-6)

Goal: Long-form, human-like content with personality

Features:

1. Multi-Stage Generation Pipeline

   Research → Outline → Introduction → Sections → Conclusion → Edit
   

2. First-Person Voice Options

   • Persona selection (Expert, Experienced, Curious, Skeptical)
   • Tone calibration (Conversational, Authoritative, Friendly)
   • Opinion injection (takes stances, expresses preferences)

3. Variable Length Control

   • Short: 800-1,200 words (quick guides)
   • Medium: 1,500-2,000 words (standard articles)
   • Long: 2,500-3,500 words (comprehensive guides)
   • Epic: 4,000+ words (pillar content)

4. Anti-AI Detection

   • Perplexity variation
   • Burstiness in sentence structure
   • Personal anecdotes injection
   • Idiomatic expressions
   • Imperfections (occasional fragments, rhetorical questions)

5. Content Elements

   • Compelling hooks
   • Storytelling arcs
   • Counter-arguments
   • Personal opinions
   • Calls to action
   • Reader engagement questions

Success Criteria:

• Passes AI detection tools ( originality.ai, GPTZero)
• Reads as genuine first-person perspective
• 2,000+ word outputs consistently
• Includes opinions and personality

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Phase 4: Calculations & Data (Weeks 7-8)

Goal: Include interactive calculations and data analysis

Features:

1. Embedded Calculators

   • Compound interest calculator
   • ROI calculator
   • Savings rate calculator
   • Mortgage/rent vs buy calculator
   • FIRE number calculator

2. Data Visualizations

   • Auto-generated charts
   • Comparison tables
   • Progress trackers
   • Scenario comparisons

3. Real-Time Data Integration

   • Stock prices (via Yahoo Finance API)
   • Interest rates
   • Inflation data
   • Market indices

4. Example Scenarios

   • "What if you invested $500/month starting at 25?"
   • "Compare 6% vs 8% returns over 30 years"
   • "Cost of waiting 5 years to invest"

Success Criteria:

• Articles include 2-3 interactive calculators
• Real data is current (within 24 hours)
• Calculations are accurate and cited
• Visual elements enhance understanding

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Phase 5: Theme Collections (Weeks 9-10)

Goal: Build topical authority through series

Features:

1. Theme Management

   • Create content themes (e.g., "FIRE Movement", "Debt Freedom")
   • Define theme parameters (tone, audience, keywords)
   • Auto-suggest related topics

2. Series Generation

   • Generate 5-10 article series on a theme
   • Internal linking between articles
   • Progressive complexity (beginner → advanced)
   • Content calendar scheduling

3. Topical Authority Building

   • Cover all aspects of a topic
   • Cornerstone/pillar content strategy
   • Supporting article clusters
   • Auto-generated hub pages

4. Content Variety Within Themes

   • "How to" guides
   • "Mistakes to avoid" warnings
   • "Case studies" and examples
   • "Deep dive" explainers
   • "Latest trends" updates

Success Criteria:

• Can create 10-article series with one click
• Articles interlink naturally
• Complete topic coverage
• Hub page auto-generates with series

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Phase 6: Media & Enhancement (Weeks 11-12)

Goal: Rich media integration

Features:

1. Image Integration

   • Unsplash API for stock photos
   • AI image generation (DALL-E/Stable Diffusion)
   • Chart/image placement optimization
   • Alt text generation

2. Video Scripts

   • Generate YouTube video scripts from articles
   • Timestamp suggestions
   • Visual direction notes

3. Social Media Assets

   • Twitter thread generation
   • LinkedIn post variants
   • Instagram caption creation

4. SEO Optimization

   • Automatic keyword research
   • Meta title/description generation
   • Header tag optimization
   • Internal linking suggestions

Success Criteria:

• Each article has 3-5 relevant images
• Social variants generated automatically
• SEO score 90+ on clearscope/surfer

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Phase 7: Automation & Scheduling (Weeks 13-14)

Goal: Autopilot content creation

Features:

1. Scheduled Generation

   • Queue up topics in advance
   • Auto-publish on schedule
   • Content calendar view

2. Trend-Based Auto-Generation

   • Monitor Google Trends
   • Auto-generate content on trending topics in niche
   • News-reactive content creation

3. Content Refresh

   • Identify outdated articles
   • Auto-update with new data
   • Republish with "Updated" label

4. Email Newsletter

   • Auto-compile weekly digest
   • Subscriber management
   • SendGrid/Mailgun integration

Success Criteria:

• Can schedule 30 days of content
• Auto-publishes without intervention
• Newsletter sends automatically

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Technical Architecture

Stack

• Frontend: Next.js 16, TypeScript, Tailwind CSS
• Backend: Next.js API Routes, SQLite (local), PostgreSQL (production)
• Auth: NextAuth.js
• AI: OpenRouter (Kimi 2.5, GPT-4, Claude access)
• Search: Brave Search API
• Images: Unsplash API, DALL-E API
• Data: Yahoo Finance API, FRED API (economic data)
• Hosting: Vercel (frontend), Railway/Render (backend + DB)

Database Schema

-- Users
users (id, email, name, password_hash, role, created_at)

-- Themes/Collections
themes (id, name, slug, description, keywords, tone, target_audience, 
        settings, content_strategy, created_by, created_at)

-- Blogs
blogs (id, title, slug, excerpt, content, status, author_id, theme_id,
       seo_title, seo_description, keywords, featured_image, images,
       sources, calculations, word_count, reading_time, generated_by,
       ai_detect_score, published_at, created_at, updated_at)

-- Research Cache
research (id, query, sources, summary, data_points, created_at, expires_at)

-- Generations
generations (id, blog_id, theme_id, prompt, model, status, output, 
             cost, tokens_used, research_used, error, created_at, completed_at)

-- Scheduled Content
scheduled_content (id, blog_id, scheduled_for, status, published_at)

-- Media Library
media (id, type, url, alt_text, source, generated_by, created_at)

AI Pipeline Flow

1. USER INPUT
   └── Topic, theme, length, tone preferences

2. RESEARCH PHASE (2-3 min)
   ├── Web search (10-15 queries)
   ├── Extract key data points
   ├── Find statistics and quotes
   ├── Compile source list
   └── Store research cache

3. OUTLINE PHASE (30 sec)
   ├── Generate H2/H3 structure
   ├── Plan word count per section
   ├── Identify calculator opportunities
   └── Determine image placement

4. WRITING PHASE (5-8 min)
   ├── Generate hook/intro (200-300 words)
   ├── For each section:
   │   ├── Write content (300-500 words)
   │   ├── Include research citations
   │   ├── Add personal opinion
   │   └── Insert relevant data
   ├── Generate conclusion (150-200 words)
   └── Add CTAs and engagement

5. ENHANCEMENT PHASE (1 min)
   ├── Add markdown formatting
   ├── Insert calculator placeholders
   ├── Optimize for readability
   ├── Check AI detection score
   └── Final edit pass

6. OUTPUT
   └── Full article + metadata + sources

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Quality Standards

Content Requirements

• Length: 2,000-3,000 words (default), 800-5,000 (range)
• Research: Minimum 5 authoritative sources cited
• Calculations: 2-3 interactive calculators per financial article
• Images: 3-5 relevant images with alt text
• Originality: <30% AI detection probability
• Readability: Flesch-Kincaid 50-70 (8th-10th grade)
• SEO: Target keyword density 1-2%, LSI keywords included

Voice & Tone Standards

• First-person singular (I, me, my, mine)
• Conversational but knowledgeable
• Occasional informality (contractions, colloquialisms)
• Personal opinions and preferences stated
• Imperfections allowed (sentence fragments, rhetorical questions)
• Enthusiasm and personality

Anti-AI Markers

• Variable sentence length (short punchy + long complex)
• Personal anecdotes and examples
• Transitional phrases ("But here's the thing...", "Look, I get it...")
• Imperfections ("Kind of", "sort of", "you know?")
• Cultural references
• Opinions and bias
• Self-correction ("Actually, let me rephrase...")

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Monetization Strategy

Pricing Tiers

Free (Hobby)

• 3 generations/month
• 1,000 words max
• Basic research
• Community support

Starter ($29/month)

• 20 generations/month
• 2,500 words max
• Full research
• Email support

Professional ($79/month)

• 50 generations/month
• 5,000 words max
• Priority research
• Theme collections
• API access
• Chat support

Agency ($199/month)

• Unlimited generations
• Unlimited length
• White-label option
• Team collaboration
• Dedicated support
• Custom integrations

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Competitive Analysis

Feature	Machined.ai	Jasper	Our Platform
Research	❌	❌	✅ Live web
Length	2,000+ words	Variable	2,000-3,500
Human voice	⚠️	⚠️	✅ First-person
Calculations	❌	❌	✅ Interactive
AI Detection	❌	❌	✅ Anti-detection
Themes	✅	❌	✅ Advanced
Real-time data	❌	❌	✅ Live APIs
Price	$49/mo	$49/mo	$29-79/mo

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Success Metrics

Technical KPIs

• Generation success rate: >95%
• Average generation time: <10 minutes
• Uptime: 99.9%
• API response time: <2 seconds

Content KPIs

• AI detection pass rate: >80%
• Average word count: 2,200+
• Sources per article: 5+
• User satisfaction: >4.5/5

Business KPIs

• Monthly active users: 1,000 (Year 1)
• Paid conversion rate: 5%
• Churn rate: <5%/month
• LTV:CAC ratio: >3:1

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Risk Mitigation

Technical Risks

• AI API downtime: Multi-provider fallback (OpenRouter)
• Rate limiting: Queue system with retries
• Data loss: Daily backups, version control

Content Risks

• AI detection: Continuous model refinement
• Factual errors: Source verification layer
• Copyright: Original content generation only

Business Risks

• Competition: Continuous innovation, unique features
• AI regulation: Transparency about AI usage
• Cost increases: Efficient token usage, caching

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Implementation Timeline

Phase	Duration	Key Deliverable
1. Foundation	2 weeks	Working prototype
2. Research	2 weeks	Research engine
3. Writing	2 weeks	Long-form content
4. Calculations	2 weeks	Interactive elements
5. Themes	2 weeks	Collection system
6. Media	2 weeks	Rich content
7. Automation	2 weeks	Autopilot mode
Total	14 weeks	Full platform

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Next Steps

1. Approve PRD — Review and finalize requirements
2. Phase 1 Kickoff — Begin foundation build
3. API Keys — Set up OpenRouter, Brave Search
4. Design Mockups — UI/UX for dashboard
5. Weekly Sprints — Agile development cycles

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Document Version: 1.0
Last Updated: 2026-02-02
Author: EM38Bot
Status: Draft — Pending Approval