Human Judgment in the Age of AI
AI is powerful — and increasingly present in everyday decisions.
But AI does not correct human judgment.
It amplifies the internal structure of the person using it.
When that structure is scattered, decisions become reactive.
When it is coherent, clarity and leadership expand.
AI 202 is a structured program designed to strengthen the internal clarity that AI amplifies — so decisions remain steady even as capability accelerates.
What We Observed in Cohort 1Participants completed the same self-assessment before and after five weeks.
On a 1–5 clarity scale (1 = steady, 5 = reactive) average scores improved by more than one full point.
Participants reported:
• Less overthinking
• Fewer reactive decisions
• Greater steadiness under pressure
• Increased confidence in execution
Several began skeptical about AI.
They left with a clear framework for what to delegate — and what not to.
The goal is simple:
Clearer decisions — before they scale across teams and outcomes.
By the end of AI 202 you will have a more stable relationship with both technology and responsibility.
Reduce second-guessing when stakes are high
Recognize when AI clarifies a decision — and when it introduces noise
Maintain judgment even when information expands rapidly
Work with AI without outsourcing responsibility
Ask questions that produce structured, useful outputs
Use AI to explore options while remaining the final decision-maker
Reduce decision fatigue during complex work
Stay clear and energy-efficient even when pressure increases
Avoid reactive thinking when AI accelerates information flow
Notice internal patterns that shape AI interactions
Detect when urgency or uncertainty distorts reasoning
Adjust thinking before decisions scale across teams or systems
Human Judgment in the Age of AI

Leaders with Decision Authority
Founders, executives, and investors scaling responsibility without losing clarity
Leaders in Transition
Professionals redefining judgment, authority, and identity in the AI era
Leaders by Responsibility (Not Title)
People whose choices affect others—and who want clarity before decisions scale
Live sessions
Learn directly from Teresa Escrig, PhD in AI in a real-time, interactive format.
Before & After Self-Assessment
A short, structured assessment to measure clarity and decision stability before and after the course.
Live Teaching + Applied Labs
Live sessions applying the method directly to real decisions in real time.
A Personal AI Operating System
A simple structure for working with AI that preserves judgment and energy — and continues working long after the course ends.
Cross-Domain Integration
Participants often notice improvements not only in work decisions, but also in communication and personal relationships.
Ongoing Research Signal
Anonymous cohort data tracking measurable shifts in decision clarity over time.
The method is simple and repeatable
Most participants describe the experience as practical and immediately applicable. You do not need to reinvent yourself. You learn to notice, adjust, and move forward with clarity.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
10 live sessions • 12 lessons
Apr
1
Apr
2
Apr
8
Apr
9
Live sessions
2-3 hrs / week
Each week includes a 90-minute live session combining structured teaching and real-time application to your own decisions. You’ll also have access to a 45-minute optional Integration Lab for deeper refinement and support. All sessions are recorded so you can integrate the method at your own pace.
Wed, Apr 1
5:00 PM—6:30 PM (UTC)
Thu, Apr 2
5:00 PM—5:45 PM (UTC)
Wed, Apr 8
5:00 PM—6:30 PM (UTC)
Projects
1-2 hrs / week
Each week you’ll apply the method to your own real decisions using structured handouts that clarify judgment, delegation, and responsibility.
Teresa has both deep artificial intelligence expertise and a creative perspective - which is a great combo. She isn’t afraid to tackle big challenges, and is able to frame up practical solutions. Teresa is also a team player and good networker, able to extend and context different perspectives.

Paul Daugherty
This unique course helped me think about AI beyond what's going on in the current moment -- going back to its origins before the current LLM boom and looking toward the future how we can build better businesses (and lives!) with the help of AI.
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Julie
Teresa is a visionary in the Artificial Intelligence and Cognitive fields. Unlike many scientists coming from academics, Teresa ventures beyond the comfortable and familiar, for as Robert Frost noted "Two roads diverged in a wood, and I — I took the one less traveled by, and that has made all the difference."

Stanford Crane
I found the course incredibly insightful , it really highlights the human side of technology and explores ways we can design solutions that are not only marketable but also equitable. I can’t recommend it enough for anyone looking to create content with a conscious mindset.
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Jamaal
Teresa is an innovative thought leader in the cognitive model space. Her research and practical application of common sense models applied to autonomous vehicles to provide transparency in the decision making is interesting and compelling. She has a passion for introducing safe and ethical AI technology approaches to benefit businesses and society.

Michael Evans
This course provides the novice a clear and easy to follow overview of the progress of AI to its current form and practical examples for both professional and personal applications. I particularly appreciated Teresa's demonstration of how to use AI to enhance one's own creativity while still maintaining the 'human' element. Teresa’s friendly and calm manner encouraged ‘beginner questions’ and I’m excited by the possibilities and eager to delve into this new field.
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Virginia
AI 202 is not:
• an AI tools class
• a prompt library
• productivity training
It requires curiosity about how you make decisions under pressure.
This program is for people who want to remain the final decision-maker while working with AI.
The Mirror Method™ is a structured way of using AI reflectively while keeping responsibility with you.
AI remains a mirror and amplifier — not the authority.
$1,295
USD
2 cohorts