Cohesion: Systematic Consistency

"Does our cafecito taste identical shot-to-shot?"

Brand-Voice JSON—exact same recipe every time. Lock in systematic voice consistency that AI tools can read and follow automatically.

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The Voice-First Question

"Does our cafecito taste identical shot-to-shot?"
Perfect consistency requires systematic precision. Your voice rules need to be machine-readable so AI tools deliver identical personality every time.

Why AI Needs Systematic Voice Rules

Think of Cohesion like a Cuban barista's exact cafecito recipe—same beans, same grind, same timing, same technique every single shot. No improvisation. Without systematic voice rules, AI gets creative when you need consistency.

Brand-Voice JSON converts your voice guidelines into machine-readable instructions. Instead of hoping AI interprets "be warm but professional," you define exactly what warmth means in terms AI can follow systematically.

Barista making precise coffee

Building Your Brand-Voice JSON

Convert voice guidelines into AI-readable format for perfect consistency across all tools and platforms

1

Voice Foundation

Core identity and personality traits defined in precise, actionable terms that AI tools can interpret consistently.

JSON Structure:

{ "brand_essence": "Miami-spirited AI strategists who help SaaS companies turn scrambled copy into voice-ready prompts that sound unmistakably authentic", "core_personality": { "warmth": 75, "professionalism": 60, "confidence": 80, "playfulness": 45 }, "cultural_elements": [ "Miami energy and warmth", "Cuban coffee culture references", "Beach/ocean metaphors for flow" ] }
2

Language Patterns

Specific vocabulary preferences, phrase structures, and linguistic patterns that define how your brand communicates.

JSON Structure:

{ "preferred_vocabulary": { "instead_of": ["utilize", "leverage", "optimize"], "use": ["use", "work with", "improve"] }, "signature_phrases": [ "voice-ready prompts", "sounds unmistakably you", "AI-assisted, human-vetted" ], "sentence_structure": { "length": "medium", "complexity": "conversational", "active_voice_percentage": 85 } }
3

Contextual Adaptations

How voice adapts across different channels and situations while maintaining core personality traits.

JSON Structure:

{ "channel_adaptations": { "email": { "formality": 40, "personal_touch": true, "signature_style": "Warm professional" }, "social_media": { "formality": 25, "emoji_usage": "natural", "energy_level": 85 }, "support": { "formality": 60, "empathy_level": 90, "solution_focused": true } } }
4

Voice Guidelines

Specific rules and constraints that ensure consistency across all AI-generated content.

JSON Structure:

{ "voice_rules": { "always_do": [ "Include specific examples", "End with clear next steps", "Acknowledge challenges authentically" ], "never_do": [ "Use jargon without explanation", "Make promises we can't keep", "Sound robotic or corporate" ], "tone_indicators": { "confident_but_humble": 70, "helpful_never_pushy": 90, "practical_over_theoretical": 85 } } }

Implementing Brand-Voice JSON

How to create, test, and deploy your machine-readable voice guidelines

W1

Convert Voice Charter to JSON

🎯 Goal: First draft of Brand-Voice JSON

  • Take your existing Voice Charter document
  • Break down personality traits into numeric scales (0-100)
  • Convert voice principles into actionable rules
  • Define channel-specific adaptations
W2

Test with AI Tools

🎯 Goal: 80%+ voice consistency score

  • Inject JSON into 5 different AI prompts
  • Generate sample content across channels
  • Run team voice consistency tests
  • Identify gaps and inconsistencies
W3

Deploy Across Systems

🎯 Goal: JSON integrated into 2+ workflows

  • Integrate into custom GPTs and Claude projects
  • Add to prompt libraries and templates
  • Build into automation workflows (Zapier, etc.)
  • Share with team for manual prompt enhancement

What Systematic Cohesion Achieves

Real impact from teams who implemented Brand-Voice JSON systems

92%

Voice Consistency

Teams using Brand-Voice JSON achieve 92% consistency scores vs. 34% for teams relying on written guidelines alone.

75%

Editing Reduction

Systematic voice rules reduce voice-related editing by 75% as AI outputs match brand personality from the start.

3x

Team Alignment

Machine-readable voice guidelines create 3x better team alignment on what "sounds like us" actually means.

Case Study: DataDrive's JSON Implementation Success

Challenge: DataDrive's 12-person marketing team produced inconsistent voice across AI-generated content. Same prompts yielded different personalities.

Solution: Built comprehensive Brand-Voice JSON defining their "data-driven optimist" personality with precise numerical scales and contextual adaptations.

Result: Voice consistency jumped from 31% to 89% in 4 weeks. Team editing time dropped 70%. AI outputs consistently matched brand personality.

"The JSON was our breakthrough moment. Instead of hoping AI would interpret 'friendly but professional,' we gave it exact parameters. Now everyone's AI outputs sound like the same company."
— Alex Rivera, Head of Content, DataDrive

Ready to Build Systematic Voice Cohesion?

Start with our Brand-Voice JSON template to create machine-readable voice guidelines, or get personalized setup through our Brand Sprint.

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