Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

Basil C. Puglisi

Agents or Agency: Transparency Is Success

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Automation and human checkpoints each have a place and a rule, and the failure is selling one as the other.

Basil C. Puglisi frames Responsible AI as the factory, where the machine checks the machine, and AI Governance as the handmade product, where a named human holds binding authority at checkpoints. Drawing on enforcement actions, court cases, and research on AI labels, the article sets out where each model belongs, what transparency costs, and how European rules, SEC enforcement, Colorado’s new law, and New York’s court rule reach the same line by different routes. It proposes an inspection mark that shows the customer who answers.

HAIA Agents: From the Definition Problem to Running Code

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The definition problem of January 2026 now runs as code.

This rebuild of the HAIA-RECCLIN Agent Architecture Specification introduces the Alpha release of Agent Model 1, Responsible AI written as code that passes nothing without a gate, and Agent Model 2, the hybrid that runs through to AI Governance at a signed human checkpoint after every role. It revisits Agent Model 3, Manual Human AI Governance, which built both releases, and states plainly what the Alpha does not claim.

Narrative Is Not Custody: Why AI Compliance Needs Traversable Rules

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A fluent explanation is not a record, and regulated AI decisions need a record.

This article argues that AI compliance starts with accountability, with policy graphs and solvers as one route to a traversable trail. It reports what GraphCompliance, solver-backed legal analysis, and two recent preprints find, maps the GDPR, EU AI Act, and Regulation B duties, and sets out the two human checkpoints that turn a trail into AI Governance.

Can AI Website Chat Convert for Small Businesses? A 30-Day Factics Playbook

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HubSpot reported a 43% lift in AI chat conversion, and a small business still needs its own numbers.

This 30-day Factics playbook is written for owners with one to five people. It reports what HubSpot and independent research found, what EU, California, Colorado, and Utah rules say about chatbot disclosure, and what the research says disclosure costs. The plan ends in a documented decision, and not deploying is one of the valid outcomes.

If You’re So Intelligent, Why Do You Use AI?

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The question every AI user hears at the table, answered with a story.

Teresa drafts grant proposals with a machine. Her brother-in-law Dale has never typed a prompt and asks why someone intelligent would. Her answer runs through Tron, Jurassic Park, and two versions of The Shining, and lands on the three old reasons people refuse a new tool: jealousy, fear, and prejudice. Verified history, invented people, one backyard argument.

Physical AI Is the Next Platform Shift, and Chat Was Only the On-Ramp

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Chat made AI legible to every board, and robots that see, plan, and act now make it consequential.

Frontier capital now treats robot learning, autonomous science, and new interfaces as the next compounding domains beyond language and code. Tesla’s Optimus and Robotaxi record shows how far demonstrations still sit from deployment, so this analysis sets out how to fund physical AI pilots with preregistered measures, a classical baseline, engineered safety, an operating-mode ledger, and a named human who decides.

One Hero Ad Is Not a Test: What Meta’s AI Ad System Means for Small Budgets

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One hero ad is not enough to prove a creative strategy.

Meta’s ad system is built for growing creative supply, but small budgets still limit what can be tested responsibly. This article shows why distinct concepts matter more than raw file count, how the learning phase constrains cadence, and how Factics turns each test into an evidence decision.

What Would Education Look Like With an AI Literacy Program Based on Proven Methods?

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Education already owns the methods that make AI support learning.

This is what an AI literacy program built on them would look like, with a named human at every checkpoint. It opens with the ground rules before any assignment uses AI, runs every session through one checkpoint sequence, and measures each learner with the tools removed. Three programs carry it from a high school classroom to a professional certificate.

Superintelligence Has Authors, the US Government Is Not One of Them

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President Trump renamed artificial intelligence after a mind no one has built.

Executive Order 14434 gives today’s ordinary AI the name researchers reserved for an intellect beyond ours, and the minds who defined that word were not in the room. Basil C. Puglisi traces superintelligence from Turing and Good to Bostrom and shows how the order skips the AGI rung. The rename is a bad joke if superintelligence is far off and dangerous if the fears are right.

Google’s Own Guide Makes GEO Hacks Optional for Google Search: Unique Experience Still Matters More for SMB Visibility

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Google’s own Search guidance undercuts several paid GEO tactics.

Google says foundational SEO and unique, non-commodity content still matter for AI Overviews and AI Mode, while llms.txt, forced chunking, AI-specific rewrites, inauthentic mentions, and special schema are unnecessary for Google Search. The article separates Google-specific guidance from broader GEO research and shows what Search Console can actually measure.