Regina Lynn Preciado Portfolio
VP of Content Strategy Solutions at Content Rules, working across life sciences, financial services, and manufacturing; publishes the "Triage Triangle" framework, which splits complex content problems into content, people, and technology categories to isolate what AI can and can't fix in each.
What makes it work
A breakdown of the choices that make this portfolio stand out.
A three-category diagnostic tool instead of a single-axis checklist
The Triage Triangle forces a diagnosis of which category a problem actually belongs to before recommending a fix — a step most "how to use AI for content" advice skips entirely.
A direct, quotable limit on what AI can do inside the framework
Stating plainly that "AI doesn't fix the underlying issues in your content, people, or technology" and instead acts as a force multiplier is a specific, falsifiable claim about AI's actual role.
Regulated-industry experience named specifically
Citing life sciences and financial services by name signals experience with content that carries compliance and regulatory weight, a higher-stakes context than general marketing content.
What AI Content Strategists can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
Build a diagnostic step into your framework that sorts problems into categories before recommending a fix.
State specifically what AI does NOT fix in your framework — a clear limit is often more useful advice than a list of capabilities.
If you work in regulated industries, name them specifically — that context signals a different and higher bar for accuracy and governance.
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