The Blackwell-Hart Technical Bulletins
The Blackwell-Hart Technical Bulletins serve as the research and commentary archive for the Blackwell-Hart Methodology™ (BHM™). The archive documents applied observations, case studies, and structured analysis related to AI-assisted discovery systems, authority infrastructure, and entity interpretation.
When AI Knows Who You Are but Doesn't Recommend You
AI systems may recognize an entity when named but omit it from answers to relevant, non-branded questions. This experiment examines entity resolution, source relationships, category association, and recommendation across ChatGPT and Gemini.
Building BHM™: The Creation of a Methodology™
Discover how BHM™ developed from observation and recurring patterns into a methodology through testing, documentation, refinement, and measurement.
Building BHM™: The Creation of a Methodology™
Traditional personal branding is designed for people, not machines. Explore why identity signals matter to AI systems and how BHM™ approaches machine interpretation differently.
Building BHM™: The Creation of a Methodology™
AI is changing how people discover individuals online. Learn how the BHM™ Individual Assessment measures identity recognition, category association, and the digital signals AI systems use to interpret professional identities.