Digital Strategy, Content, and AI Since 2009
Good posts still go unread, and HAIA-SMART Copy shows the author why.
HAIA-SMART Copy is a free prompt that scores social media copy across six pillars for 30 points, revises it, and holds all output until the author approves. It then writes native text for eight platforms, and the full tool runs in the post with a PDF and a .md file.
A woman applies for a car loan on a Tuesday morning. Before a human being reads her name, a model has scored her, a ranking system has chosen what she sees, and a classifier has flagged her scan.
She met artificial intelligence roughly a dozen times before lunch, and none of it said a word to her. This is the story of what AI actually is, told in the order it happened, from the era when humans wrote every rule through machine learning, deep learning, the transformer, language models, agents, and embodiment. It ends where the sequence was never resolved: nobody settled who holds authority over the decisions.
The major AI literacy frameworks name governing and managing AI as a competence and stop short of measuring it. This working paper introduces the Human Enhancement Quotient, a behavior-anchored instrument that scores the governance relationship between a human authority and a machine capability inside a working decision process, with a universal floor keyed to irreversible consequence and an audit record reviewable on appeal.
They came for the World Cup and found ranch dressing, Buc-ee’s, and a country nothing like the one the media sells. The warm clips are not the whole story, and neither is the grim feed. Here is the honest standard for telling the difference, and why it matters after 250 years.
Most of the market is selling AI SEO tricks. The real shift is governance: being found, cited, and represented accurately inside AI answers, with a named human accountable for each correction. SEO is the floor, not the finish line.
A German court just told Google it answers for what its AI publishes. The Munich ruling treats AI Overviews as Google’s own statements, not safe search results, and says the disclaimer does not transfer the duty. Read what the decision means for AI accountability and why it mirrors New York’s Part 161 from the other end.
Insurance carriers are writing the rules of AI governance before legislators finish debating them. This working paper proposes a five-tier model that maps where organizations fall on the spectrum from excluded to insurable, identifies the actuarial gap at the center of the emerging practice, and documents the carrier evidence, regulatory signals, and market products that are forcing the distinction between governed and ungoverned AI into the open.
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 […]
Get the PDF Here (Special note, this is my 1,000 published post here) A Practitioner’s Guide for Enterprise AI Leaders Type: Research Synthesis | Executive White Paper Period Covered: 2025–2026 Primary Sources: Accenture (2025) | Deloitte AI ROI Survey (Oct. 2025) | Deloitte State of AI in the Enterprise (Jan. 2026) | Google Cloud ROI […]
In an earlier piece, I used Detective Danny Reagan’s line from Boston Blue as a practical frame for AI accountability: “The tech is just a tool.” That sentence matters because it cuts through the noise. Tools do not bear responsibility. People do. Organizations do. Professionals do. Institutions do. This article looks at what happens when […]
