Fabricated citations in biomedicine increased tenfold in three years, and 98.4% of flagged papers remain uncorrected. The automated enforcement wave is arriving, but it carries false-positive rates that hit honest authors hardest. This working paper proposes a five-level fault ladder and a Source Provenance Ledger that makes verification effort visible, producible on challenge, and driven by market adoption rather than mandates.
PR & Writing
SCOPE: SOURCE CUSTODY OBSERVABLE PUBLICATION EVIDENCE
Your citations are only as strong as the record behind them. HAIA-SCOPE is a three-tier documentation protocol that records what you verified, when you verified it, and where the preserved copy lives. The record stays private until you need it. When automated enforcement flags your work or a reviewer challenges a citation, only the author who maintained a SCOPE record can produce one.
Crossing Over 1,000 Published Posts: Digital Marketing to AI
In 2009, a blog post about social media. Today, over twenty white papers, three published books with two more pending, and the operating architecture for human-AI collaboration that the industry is still figuring out how to build. This past week, after publishing post 1001, I noticed basilpuglisi.com had crossed one thousand published articles. A thousand […]
Nobody Built the Governance Layer Between Compliance and AI
The AI That Said “Check My Work,” and the Ten Platforms That Confirmed It In brief: During development of a multi-AI governance framework, the primary AI platform claimed the architecture was unique. The methodology required verifying that claim across ten independent platforms. No platform found a comparable published architecture. During retesting, one platform fabricated evidence […]
The Missing Governor: Anthropic’s Constitution and Essay Acknowledge What They Cannot Provide
A Structural Response to Claude’s Constitution &“The Adolescence of Technology” Essay (PDF) Executive Summary On January 21, 2026, Anthropic published Claude’s Constitution, an 80-page document articulating values, character formation, and behavioral guidelines for its AI system. Six days later, on January 27, 2026, CEO Dario Amodei released “The Adolescence of Technology,” a 20,000-word essay examining […]
Why Your Best Prompts Still Fail (And What Advanced AI Users Do Instead)
Most AI advice stops at “write better prompts.” That advice stopped being useful in 2023. You have read the prompt engineering guides. You have experimented with chain of thought reasoning, few shot examples, and role assignments. Your prompts are sophisticated. And yet, your AI outputs still require heavy editing, miss critical context, or confidently state […]
What Ten AI Platforms Taught Us About Getting Real Work Done
The conventional wisdom says pick one AI and master it. Months of production work across legal research, book development, press releases, website code, infographics, and dozens of articles revealed a different pattern. Different platforms excel at different tasks, and knowing which to deploy when changes everything. These observations come from actual deliverables: legal case research, […]
Multi-AI Governance: How 7 Platforms Exposed the Bias No Single AI (LLM) Could See
Executive Summary Seven AI systems analyzed the same problem. Three flagships judged each other. Each one quietly crowned itself the best. That pattern, which this article terms Algorithmic Narcissism, shows why single-AI reliance is not just a technology decision but a governance exposure. It bakes bias and blind spots into strategy with no detection mechanism. […]
The Methodology Problem: Why Research on AI and Cognition Confounds Technology without Governance Use
The Research Flaw: Testing Consumption, Not Engagement (PDF) Every study claiming that AI use erodes critical thinking quietly shares the same design flaw. They are not measuring governed AI use. They are measuring unstructured prompt in, answer out workflows that ask nothing of the user beyond consumption. By “governance” I mean structured interaction protocols that […]
Checkpoint-Based Governance
A Constitution for Human-AI Collaboration An AI Governance Framework Version 4.2.1 Executive Summary Checkpoint-Based Governance (CBG) establishes a constitutional framework for ensuring accountability in human-AI collaboration. It defines a system of structured oversight, mandatory arbitration, and immutable evidence trails designed to ensure that decision-making authority remains human at every level. The framework provides a practical […]