By Chris Ciappa I was mapping patterns — that’s what I do — thinking through how the Ciappa Drift Stack™ shows up across domains.
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People rarely abandon their moral code in one dramatic act. They move the boundary a little at a time, rationalize the next decision, and eventually defend a state they once would have recognized as wrong. This is ethical drift—and a current provenance dispute shows exactly what happens when documented facts are sitting in plain sight.
I gave ChatGPT an external specification for how I write. It understood it, had followed it before, and then ignored it anyway. What happened next became an unexpectedly clean demonstration of AI drift, external correction, and why having a rule is not the same thing as enforcing it at execution.
AI RADAR™ was built from architecture, not another checklist. It evaluates where an organization actually stands across lifecycle, readiness, authority, risk and execution—and turns the results into evidence-backed reporting, prioritized actions and partner-ready delivery.