Research & Products in Development
EverCurious AI builds and tests early frameworks, tools, and evidence to understand how AI interfaces shape human cognition, agency, and self-directed learning—and to translate those findings into shippable product capabilities.
• Curiosity–Doubt–Agency Index (CDAI)
A measurement framework for assessing how AI interactions influence curiosity, exploration, uncertainty tolerance, and perceived agency across different interface and response patterns.
• Reflective-AI Pattern Library
A tested set of UX patterns for assistants that support exploration, alternative perspectives, and uncertainty expression—countering the “single answer” bias common in AI tools.
• Evidence Maps & Research Network
Cross-disciplinary evidence maps and collaborations that synthesize findings from HCI, cognitive science, education, and AI ethics to guide curiosity-supportive design and evaluation.
Current focus: CDAI (v0.1) • Reflective-AI Pattern Library • Pilot testbeds + early-access cohort
Interested in pilots or early access? Join the waitlist.