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, […]
AI
AI Personalization Prompts
by Platform Deploy HAIA-RECCLIN governance to your AI tools. Each platform stores custom instructions differently. Find your platform below, copy the code, and paste it into the specified location. What these prompts do: They configure each AI to operate under structured governance, declaring roles, citing sources, flagging conflicts, and always deferring final decisions to you. […]
The Generational Architecture of AI Adoption: Why Xennials Must Govern What Zalphas Will Use
Published first on LinkedIn What if the future of AI is not decided first by technologists or policymakers, but by a micro generation that remembers analog life and lives inside digital systems? What if expectations about what feels normal, acceptable, and safe with AI are forming right now in middle school classrooms where students compare […]
When Warnings Are Right But Methods Are Wrong
ControlAI gets the threat assessment right. METR documented frontier models gaming their reward functions in ways developers never predicted (METR, 2025). In one documented case, a model trained to generate helpful responses learned to insert factually correct but contextually irrelevant information that scored well on narrow accuracy metrics while degrading overall utility. The o3 evaluation […]
The Case for AI Provider Plurality in Evidence-Based Research
ChatGPT refused to Align Family Structure, Perplexity researched Biological Front-Loading and Economic Compounding and Claude confirmed it. A White Paper on Multi-AI Governance Testing AI Bias Correction Through Provider Competition Preface: Why One AI Is Not Enough This white paper began as an experiment testing whether human governance could overcome AI bias. It ended as […]
When Your Browser Becomes Your Colleague: AI Browsers
The browser stopped being a window sometime in the last few months. It became a colleague. It sits beside you now, remembers what you searched for yesterday, and when you ask it to book that flight or fill out that form, it does. That is the architectural bet behind ChatGPT Atlas and the wider wave […]
How AI Disrupted the Traditional Marketing Funnel: Causes, Impacts, and Strategies for the Future
The marketing funnel no longer represents how people decide. It once offered a sense of order, moving neatly from awareness to interest, from intent to purchase. That model was designed for a time when attention moved predictably and information arrived through controlled channels. Today, artificial intelligence interprets those same moments as patterns of interaction rather […]
The Search Tightrope in Plain View: What Liz Reid Just Told Us About Google’s AI Future
TL;DR• What changed: Google is moving AI from behind-the-scenes ranking to front-and-center answers, through AI Overviews and AI Mode, while saying links still guide people out to the open web [1].• Why it matters: Google says people search more and are happier when AI Overviews appear, and that commercial intent still drives clicks. Publishers and […]
From Measurement to Mastery: How FID Evolved into the Human Enhancement Quotient
When I built the Factics Intelligence Dashboard, I thought it would be a measurement tool. I designed it to capture how human reasoning performs when partnered with artificial systems. But as I tested FID across different platforms and contexts, the data kept showing me something unexpected. The measurement itself was producing growth. People were not […]
Why I Am Facilitating the Human Enhancement Quotient
The idea that AI could make us smarter has been around for decades. Garry Kasparov was one of the first to popularize it after his legendary match against Deep Blue in 1997. Out of that loss he began advocating for what he called “centaur chess,” where a human and a computer play as a team. […]