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.
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.
When Identity Becomes Uncertain: Why Authority Infrastructure Matters in the AI Era
As AI makes digital imitation easier, organisations face a new challenge: being correctly identified and trusted. Explore why authority infrastructure is becoming essential in AI-assisted discovery.
Blackwell-Hart Methodology™ (BHM™) Technical Bulletin 26-17: Live Verification – The Semantic Instability of Autonomous Discovery Engines
A live verification demonstrates how autonomous AI discovery engines hallucinate, misclassify, and conflate entities when authoritative digital signals are weak. Learn why structured authority infrastructure is essential for semantic stability and accurate AI interpretation.
Last Week, Squarespace Validated the AI Visibility Market
Squarespace's AI Visibility feature signals a major shift in digital discovery. Learn why measuring AI visibility is only the first step toward building AI authority.