Designing for Cognitive Agency in the Age of AI
A research and practice initiative dedicated to understanding how AI-driven "cognitive authority" shapes human curiosity, doubt, and independent judgment.
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AI assistants are becoming the default interface for search, writing, learning, and planning. Yet many systems still optimize for speed and convenience over exploration, reflection, and independent reasoning.
EverCurious AI focuses on the human consequences of AI interfaces—how design choices shape curiosity, doubt, and independent reasoning as AI becomes a primary gateway to knowledge and decisions.
Currently in progress: we are now executing Phase A: Evidence Audit and Gap Analysis.
Our Mission:
To move beyond speculation and provide rigorous, field-grounded evidence about how AI interfaces shape cognitive authority—plus the practical interventions required to normalize doubt, enhance curiosity, and protect independent judgment.
What EverCurious AI Does
AI Product Frameworks: Developing operational benchmarks and "Reflective-AI" design patterns to help product teams build systems that support inquiry over premature closure.
Deployable Pedagogy: Translating cognitive research into classroom-ready routines that prevent AI-enabled "shallow mastery" and protect student agency.
Evidence Mapping: AI-human cognitive research to identify critical gaps in how we measure and preserve human curiosity.
Why Curiosity by Design Matters
As AI becomes a primary interface for knowledge, we face a quiet risk: systems that feel effortless can increase confidence while reducing depth of learning and independent reasoning. EverCurious AI develops evaluation methods and tested interface patterns that make curiosity-preserving design measurable—and practical to implement.
Related research: UPenn/Wharton Study
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