AI that strengthens human curiosity and agency
Building research-backed AI tools, evaluation frameworks, and cloud-native testbeds for reflective AI systems.
Building research-backed AI tools, evaluation frameworks, and cloud-native testbeds for reflective AI systems.
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: CDAI (v0.1) • Reflective-AI Pattern Library • Pilot testbeds + early-access cohort
What EverCurious AI Does
• Tools & Frameworks: We build and release prototypes, measurement frameworks, and pattern libraries—starting with the Curiosity–Doubt–Agency Index (CDAI)—to guide reflective-AI design.
• Applied Testbeds: We test these tools in real environments, including media platforms, creative analysis workflows, and long-form research contexts.
• Research: We study how interface and answer-engine design shapes curiosity, doubt, exploration, and cognitive autonomy.
• Products: We’re translating this work into products and technology—starting with lightweight tools and integrations that bring reflective-AI patterns and CDAI-style measurement into everyday workflows.
Why Curiosity by Design Matters
As AI becomes a universal interface for knowledge and decision-making, we need systems that encourage question-asking, exploration, and cognitive autonomy—not passive acceptance of a single answer.
EverCurious AI focuses on building the tools and evidence to make this possible.
Our goal is to make curiosity-preserving AI design measurable, testable, and deployable at scale.