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AAA Authentic Authority Accelerator System: Turn one brand interview into 12+ months of authentic AI-assisted content. 23 modular skills for Claude Code.

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AAA Authority Acceleration System

Authentic AI-Assisted Authorship: Turn one brand interview into 12+ months of content that's 90-95% indistinguishable from the original creator.

License: MIT

Created by Zach Lloyd | Black Sheep Systems | @blacksheepsystems


Overview

The AAA System solves the #1 problem in AI content creation: authenticity.

Most AI content fails because:

  • Everyone uses the same prompts from the same YouTube videos
  • They skip the strategic work (brand discovery, voice analysis)
  • They treat AI like a microwave: "Make me content"
  • Result: 40-50% authenticity. Your audience can tell.

The AAA System is different:

  • 23 modular skills for the complete content lifecycle
  • Voice Meta v2.0 captures what you say AND what you'd NEVER say
  • Validated at 90-95% authenticity in blind tests
  • Complete pipeline from generation to publishing

The Math

1 Brand Interview → 100 Topics
1 Topic → 19 Content Pieces
100 × 19 = 1,900 Pieces
= 12+ MONTHS of content from ONE session

Quick Start

1. Clone & Install

# Clone the repository
git clone https://github.com/Zeek2Fit/aaa-authority-acceleration.git
cd aaa-authority-acceleration

# Copy skills and commands to your Claude Code environment
cp -r .claude/skills/* ~/.claude/skills/
cp -r .claude/commands/* ~/.claude/commands/

2. Verify Installation

ls ~/.claude/skills/
# Should show 23+ skill directories

ls ~/.claude/commands/
# Should show 23 command files (aaa-workflow.md, brand-discovery.md, etc.)

Tip: After installation, type /aaa and press Tab - Claude Code will autocomplete available AAA commands.

3. Run Your First Workflow

/aaa-workflow

You'll be guided through the complete journey:

  • STEP 0: CAPTURE - Gather content samples
  • STEP 1: ANALYZE - Voice DNA + Disgust Mapper + Brand Discovery
  • STEP 2: ARCHITECT - Authority positioning + Topics
  • STEP 3: ACTIVATE - Multi-platform content generation

System Architecture

Natural Language Input → Skill Auto-Activation → Content Generation
        ↓                       ↓                       ↓
"New client Sarah"     /aaa-workflow suggested    Voice DNA extracted
                                                         ↓
                                              /content-to-airtable
                                                         ↓
                                                  Airtable Queue
                                                         ↓
                                        curl webhook → n8n → Kit Draft

The 3 Layers

Layer Purpose Output
Layer 0: Brand Discovery Strategic positioning (125 ERISE variables) Complete Brand Profile
Layer 1: Voice Meta Voice DNA + Disgust Mapper (negative boundaries) Voice Meta Profile
Layer 2: Topic Generation Combinatorial creativity 50-100 strategic topics

Skills Inventory (23 Total)

Core Workflow

  • /aaa-workflow - Master orchestrator
  • /deep-brand-intake - Content capture
  • /brand-discovery - 39-question strategic interview
  • /voice-dna - 5-layer voice extraction
  • /disgust-mapper - Negative boundary mapping
  • /generate-topics - Combinatorial topic generation
  • /topic-to-matrix - 1 topic → 19 pieces

Authority Engine

  • /authority-engine - STP analysis + competitor discovery
  • /competitor-analysis - Full content analysis
  • /competitor-hooks - Viral hook extraction
  • /competitor-structures - Format analysis
  • /competitor-topics - High-engagement topics
  • /competitor-gaps - White space opportunities

Trust Signals (E-E-A-T)

  • /trust-signal-generator - Orchestrator
  • /trust-case-studies - Client transformation stories
  • /trust-frameworks - Proprietary methodologies
  • /trust-contrarian - Thought leadership takes
  • /trust-metrics - Transparency content
  • /trust-deep-dives - Long-form authority
  • /trust-provenance - Behind-the-scenes

Pipeline & Utilities

  • /content-to-airtable - Push to content queue
  • /content-calendar - Bulk scheduling
  • /content-review - Human-in-the-loop approval
  • /session-handoff - Context management

Why NOT RAG?

We rejected RAG (Retrieval Augmented Generation) in favor of complete context loading:

RAG (What Others Do) AAA System
Chunks content into snippets Loads COMPLETE digital footprint
Searches for "relevant" pieces 500k-800k tokens in one shot
Stitches together fragments Uses Gemini's 1-2M context window
40-50% authenticity 90-95% authenticity

RAG can't see that you always open with a question. RAG can't detect your signature three-beat rhythm. We load everything.

Airtable Integration

The system integrates with Airtable for content management:

Base ID: See SETUP.md for configuration

Table Purpose
AAA Clients Client profiles
AAA Topics Topic library
AAA Content Pieces Content queue

n8n Pipeline

The included n8n workflow automates publishing:

Airtable (Status: Approved) → Webhook → n8n → Kit Draft → Airtable (Published)

Currently Supported:

  • Email → Kit (ConvertKit)
  • Twitter → X API (bring your key)
  • WordPress → WP REST API (bring credentials)
  • LinkedIn → LinkedIn API (bring token)

Extraction Tools

The tools/extraction/ folder contains Python scripts for gathering content:

Tool Purpose
youtube_transcript_extractor.py Download YouTube video transcripts
kit_email_extractor.py Extract Kit (ConvertKit) email broadcasts
podcast_transcript_extractor.py Get podcast transcripts from Buzzsprout
gemini_voice_synthesizer.py Analyze 500k+ tokens with Gemini 2.5

For Twitter/X: See tools/extraction/README.md for alternatives (API is paid).

Quick start:

pip install youtube-transcript-api requests beautifulsoup4
python tools/extraction/youtube_transcript_extractor.py

See tools/extraction/README.md for complete AI-friendly usage instructions.

Requirements

  • Claude Code - This system runs in Claude Code
  • Airtable MCP - For content queue integration
  • Kit Account - For email draft creation
  • n8n Instance - For automation (optional)
  • Python 3.9+ - For extraction scripts

Credits

Created By

Zach Lloyd - Founder of Black Sheep Systems

Black Sheep Systems helps small business owners implement AI automation that actually works. The AAA System was built to solve the authentic content problem once and for all.

Built With

  • Claude Code
  • Anthropic's Skills architecture
  • Gemini 2.5 for voice synthesis

License: MIT - Use freely, attribution appreciated.

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AAA Authentic Authority Accelerator System: Turn one brand interview into 12+ months of authentic AI-assisted content. 23 modular skills for Claude Code.

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