Human-AI Triangulation Lab: Use AI Without Outsourcing Judgment
Danny Glassmann, Ph.D.
Former Dean · Founder · AI Leadership
AI sounds confident. That doesn't mean it's right.
You asked AI for help. It gave you an answer — polished, fast, sure of itself. And you used it. But was it actually right?
AI can draft, summarize, research, and recommend. It can sound authoritative even when it's missing context, repeating flawed sources, or making assumptions it never named.
The problem isn't AI. The problem is speed. When answers arrive in seconds, the friction that used to make us think disappears.
This workshop gives you a repeatable AI Trust Check: a practical workflow for evaluating AI-generated answers before you rely on them in real work, including decisions, messages, plans, summaries, research, and recommendations.
In 90 minutes you will learn how to spot what an AI answer assumes or omits, how to check claims and sources, and how to return to human judgment before acting.
This is not about using less AI. It's about thinking better with it.
For professionals, educators, and leaders who use AI at work and want discernment, not just speed.
What you’ll learn
AI gives you answers. This workshop gives you judgment. Learn to evaluate, verify, and decide before you act.
Learn how to identify the hidden assumptions, missing context, and overconfident claims in AI-generated answers before you use them in real
Practice a simple process for tracing AI-generated claims, evaluating sources, and catching weak or repeated evidence before it shapes a dec
Leave with a practical workflow for deciding what to use, revise, reject, or verify, so AI supports your thinking without replacing it.
Workshop agenda
Opening: Why Discernment Matters Now (10 min)
AI is fast. Confidence is not the same as accuracy. We open with the core problem: polished answers can still be wrong, and speed erodes the habits that
Part 1: The AI Trust Check Framework (20 min)
Introduction to the Human AI Triangulation model. Start Human. Triangulate with AI. Return to Human. We walk through the full framework and what each stage actually requires.
Part 2: Spotting Assumptions and Gaps (20 min)
Live practice. We take real AI-generated outputs and identify what they assume, omit, overstate, or get wrong. Participants work through examples from their own professional contexts.
Part 3: Checking Claims and Sources (20 min)
A practical process for tracing claims, evaluating sources, and identifying when evidence is weak, circular, or missing entirely. We practice together in
Part 4: Making the Call (15 min)
How to decide what to use, revise, reject, or verify. The Protect, Assist, Automate, Review model applied to real decisions.
Closing: Your Trust Check in Practice (5 min)
You leave with a repeatable one-page workflow you can use immediately. Q & A. Next steps.
Learn directly from Danny
Danny Glassmann, Ph.D.
20+ yrs higher ed leadership · Former Dean Ohio/SF State · PhD · AI + belonging
Who this workshop is for
The Higher Ed Professional Using AI Without a Framework
The Mission-Driven Leader Navigating AI Pressure
The Thoughtful Professional Who Uses AI Daily But Wants More Discernment
What's included
Live sessions
Learn directly from Danny Glassmann, Ph.D. in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
The Human-AI Triangulation™ framework
A practical three-step model for starting with human purpose, triangulating with AI, and returning to human judgment before acting. You leave with a framework you can apply immediately.
A Repeatable AI Trust Check Workflow
A one-page process for evaluating any AI-generated answer before you use it at work. Spot assumptions, check sources, and decide what to use, revise, reject, or verify.
Live Practice with Real AI Outputs
We do not just talk about the framework. We use it together in real time on actual AI-generated content so you leave knowing how it feels to apply it.
The Protect, Assist, Automate, Review Model
A decision tool for knowing which work should stay fully human, which AI can assist, and where verification is non-negotiable before acting.
Session Recording
Can't catch every minute live? The full recording is yours after the session so you can revisit the frameworks and practice at your own pace.
Practical Tools Across Real Work Contexts
Everything covered applies directly to writing, research, planning, communication, and decision-making — the actual work you do every day.
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