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feat(content): enhance research.md with 7 advanced research frameworks (t199.1)#842

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feature/t199.1
Feb 10, 2026
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feat(content): enhance research.md with 7 advanced research frameworks (t199.1)#842
marcusquinn merged 1 commit intomainfrom
feature/t199.1

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Summary

Comprehensive enhancement of content/research.md with 7 advanced audience research and niche validation frameworks, adding 469 lines of actionable methodologies.

Frameworks Added

1. 11-Dimension Reddit Research Framework

  • Perplexity mega-prompt template for systematic Reddit analysis
  • 11 analysis dimensions: sentiment, UX, competitors, pricing, use cases, support, performance, updates, power user tips, red flags, decision summary
  • Exact user language extraction for authentic messaging

2. 30-Minute Expert Method

  • Reddit → NotebookLM workflow for instant niche expertise
  • 3-phase process: scrape (10min), ingest (5min), analyze (15min)
  • AI-powered synthesis of hundreds of conversations

3. Niche Viability Formula

  • Formula: (Demand × Buying Intent × (1/Competition)) × Business Fit
  • Multi-source validation: Google Trends + Reddit activity + Whop marketplace
  • Weighted scorecard with clear thresholds
  • Q4 seasonality bonus for buying intent awareness

4. Creator Brain Clone Pattern

  • Bulk transcript ingestion via yt-dlp-helper.sh (references t201)
  • Memory namespace storage for queryable competitive intel
  • Analyze hundreds of hours of competitor content in minutes

5. Gemini 3 Video Reverse-Engineering

  • Upload competitor videos to Gemini 3 for analysis
  • Extract visual style, scene breakdown, audio design, pacing, editing
  • Generate reproducible prompts for Sora 2 / Veo 3.1

6. Pain Point Extraction Methodology

  • 6 source types: Reddit, forums, reviews, support tickets, YouTube comments, social media
  • Extraction template: exact quotes, frequency, severity, failed solutions
  • Purchase trigger identification

7. Cross-Platform Research Framework

  • 6 platforms monitored: Reddit, TikTok, X, Instagram, YouTube, LinkedIn
  • Format migration signals
  • Cross-platform content matrix for opportunity mapping

Statistics

  • Before: 230 lines
  • After: 678 lines
  • Added: 469 lines (+204%)
  • Frameworks: 7 major methodologies
  • Sections: 30

Task Requirements (t199.1)

All requirements met:
✅ 11-Dimension Reddit Research Framework
✅ 30-Minute Expert Method
✅ Niche Viability Formula with Whop/Google Trends
✅ Creator Brain Clone pattern (references t201)
✅ Gemini 3 video reverse-engineering
✅ Pain point extraction methodology
✅ Cross-platform research framework

Closes #819

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  • Commit unit tests in branch feature/t199.1

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🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 61 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Tue Feb 10 01:07:49 UTC 2026: Code review monitoring started
Tue Feb 10 01:07:49 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 61

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 61
  • VULNERABILITIES: 0

Generated on: Tue Feb 10 01:07:51 UTC 2026


Generated by AI DevOps Framework Code Review Monitoring

Add comprehensive audience research and niche validation methodologies:

1. 11-Dimension Reddit Research Framework
   - Perplexity mega-prompt template for deep Reddit analysis
   - Covers sentiment, UX, competitors, pricing, use cases, support,
     performance, updates, power user tips, red flags, decisions
   - Extracts exact user language for authentic messaging

2. 30-Minute Expert Method
   - Reddit scraping → NotebookLM → instant expertise workflow
   - 3-phase process: scrape (10min), ingest (5min), analyze (15min)
   - Generates audience insights with pain points and purchase triggers

3. Niche Viability Formula
   - Formula: (Demand × Buying Intent × (1/Competition)) × Business Fit
   - Google Trends + Reddit + Whop marketplace validation
   - Weighted scorecard with clear viability thresholds
   - Q4 seasonality awareness for buying intent

4. Creator Brain Clone Pattern
   - Bulk transcript ingestion for competitive intelligence
   - Memory namespace storage for queryable knowledge base
   - References t201 for automation
   - Extracts topics, hooks, language patterns, content gaps

5. Gemini 3 Video Reverse-Engineering
   - Upload competitor videos to extract reproducible prompts
   - Analyzes visual style, pacing, audio design, editing
   - Generates Sora 2 / Veo 3.1 prompts for style replication
   - Build reusable style library

6. Pain Point Extraction Methodology
   - 6 source types: Reddit, forums, reviews, support, YouTube, social
   - Template for exact quotes, frequency, severity tracking
   - Failed solutions and purchase trigger identification
   - Clustering and prioritization framework

7. Cross-Platform Research Framework
   - Monitor 6 platforms: Reddit, TikTok, X, IG, YouTube, LinkedIn
   - Format migration signal detection
   - Content matrix for cross-platform opportunities
   - Proven idea multiplication strategy

Enhanced audience profile template with failed solutions, exact language,
and buying triggers. Added Reddit discussion depth validation signal.

All cross-references verified. Markdown formatting applied.

Stats: 469 lines added (+204%), 7 frameworks, 30 sections

Closes #819 (t199.1)
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🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 61 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Tue Feb 10 01:34:28 UTC 2026: Code review monitoring started
Tue Feb 10 01:34:29 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 61

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 61
  • VULNERABILITIES: 0

Generated on: Tue Feb 10 01:34:31 UTC 2026


Generated by AI DevOps Framework Code Review Monitoring

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@marcusquinn marcusquinn merged commit cf3f02f into main Feb 10, 2026
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@marcusquinn marcusquinn deleted the feature/t199.1 branch February 10, 2026 01:37
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t199: Content Creation Agent Architecture — multi-media multi-channel production pipeline

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