Origins of CTR™ Framework

In 2023, during cancer treatment, Bonnie found AI to be the crutch she needed for thinking through life's challenges. This personal discovery led her to begin integrating AI into different areas of her life—her teaching role, her businesses, personal blogging, research, and other applications.

As AI became more integral to her work, Bonnie wanted to find a way to acknowledge how AI was helping her in a transparent way that could show how she and AI worked together across these different areas. Existing approaches felt inadequate—simple labels like "AI-assisted" seemed both too vague and too binary for the nuanced reality of productive partnership.

What started as a personal need evolved into systematic research. Bonnie analyzed how different fields handle attribution—from academic co-authorship to film credits to business partnerships—looking for patterns that could inform a more thoughtful approach to human-AI collaboration.

The result became the CTR™ Framework: a way to document collaboration that preserves human agency while being transparent about AI's role.

The framework provides a practical way to document human-AI collaboration across different types of work—from writing to research to creative projects or software development. Rather than broad disclaimers, it offers specific, contextual attribution that helps readers understand exactly how collaboration shaped the final work.

The goal isn't to hide AI use, but to tell the story of partnership in a way that demonstrates how human creativity and agency remain central to meaningful work. By being transparent about collaboration, creators can embrace AI's capabilities while preserving what makes their contribution distinctly human.