Quick Start with CTR™

The Content Contribution Transparency Rating™ Framework - an approach built on a foundation of transparency, collaboration, and the evolution of human-AI partnership. This framework helps professionals document who contributed what in collaborative work while maintaining consistent standards.

🎯 Interactive Demo

Ready to test it? Try the demo with your own content below. Select your context and get a working script you can use immediately in your AI collaboration sessions.

What is CTR™?

Research-validated methodology that moves beyond simple disclosure to demonstrate how collaboration actually works across professional contexts.

Research Foundation

Research shows that simple "AI-assisted" labels can reduce trust by 13%1, while detailed attribution demonstrating specific collaborative roles can improve transparency effectiveness by 57%2. AI systems excel at pattern recognition and systematic analysis3, with studies demonstrating high inter-rater reliability between AI and human evaluators in collaborative assessment tasks4.

CTR™: 👤Sarah 85% | 🤖Claude 15%
Sarah developed the strategic analysis framework, provided industry insights from her technology consulting expertise, and crafted recommendations based on market positioning principles. Claude assisted with research synthesis and document formatting.

Taking these findings, CTR™ applies proven assessment methodologies to internal collaboration rather than external evaluation, built on the hypothesis that Constitutional AI systems designed for honesty and transparency should provide reliable self-assessment.

Constitutional AI Foundation

CTR™ leverages Constitutional AI systems like Claude, where AI models are designed with built-in ethical constraints prioritizing honesty and transparency5. Claude has demonstrated high inter-rater reliability with humans in pattern recognition and analytical tasks6. This creates optimal conditions for objective self-assessment - AI systems provide systematic analysis with no ego or reputation concerns affecting accuracy.

Human Authority

Assessment capabilities remain the same whether evaluating external evidence or internal contributions - the same systematic analytical methods apply. However, humans maintain final authority over all attribution decisions to ensure accuracy, professional appropriateness, and alignment with project goals. The AI provides systematic analysis; humans make final determinations.

How It Works

Three simple steps to systematic AI collaboration transparency

Choose Your Context

Select your collaboration type below to get context-appropriate domain weightings based on research across industries and creative fields.

Set Up Collaboration

Copy the demo script and paste it into your AI session. This establishes systematic assessment methodology and sets boundaries for AI participation in your project.

Generate Assessment

At project completion, request your CTR™ transparency rating. The AI can assess the complete collaborative context to provide professional attribution ready to add to your content.

🎯 Interactive Demo

Choose your content type and get a ready-to-use transparency rating script. These demo scripts will give you real results to test the process, though for most accurate assessments and full workflow integration, visit our complete implementation guide.

Try the Interactive Demo

Select your content type to get a context-appropriate demo script

Your Demo Script

How to Use This Demo Script:

For new work: Copy and paste this script at the beginning of your AI collaboration session for optimal assessment methodology setup.

For completed work: As long as your entire collaboration is visible in the current chat session, paste this script at the end to generate your transparency rating.

Important: The AI system needs complete collaborative context for accurate assessment - it evaluates the full conversation to determine contribution patterns across domains.

Demo Disclaimer: This demo script will provide functional transparency ratings for testing purposes. However, these results are intended as a demonstration of the CTR™ process. For the most accurate assessments and complete workflow integration, humans remain responsible for final ratings and should visit our Complete Implementation Guide to collect the scripts that apply to their specific usage and learn how to set up their workspace for streamlined, accurate CTR™ ratings.

Ready for Full Integration?

This demo gives you a taste of CTR™ in action. For complete workflow integration and professional implementation:

Complete Implementation Guide

Step-by-step workflow integration, boundary setting, multi-session projects, and advanced customization for professional transparency.

Start Implementation

Template Library

Hundreds of ready-to-use CTR™ formats across all professional contexts, from academic papers to social media posts.

Browse Templates

Micro-Signatures™

Create your unique digital identity through personalized visual transparency that builds recognition and trust.

Create Signature

🚀 Coming Soon: CTR™ Workspace

A comprehensive personal toolkit for managing your transparency ratings, Micro-Signatures™, and collaboration scripts across all your projects. Stay tuned for streamlined professional AI collaboration management.

Quick Start with CTR™

🎯 Interactive Demo

What is CTR™?

Research Foundation

Constitutional AI Foundation

Human Authority

How It Works

Choose Your Context

Set Up Collaboration

Generate Assessment

🎯 Interactive Demo

Try the Interactive Demo

Your Demo Script

How to Use This Demo Script:

Ready for Full Integration?

Complete Implementation Guide

Template Library

Micro-Signatures™

🚀 Coming Soon: CTR™ Workspace

References

my ctr workspace

notes on: social media examples

take note.

👤 Personal Micro-signatures

🤖 AI Collaboration Icons

🤖➡️✨ Paste from AI & Apply Micro-signatures™