Find your
question flow.
Your conversations with AI contain more than answers. They reveal what you notice, return to, reconsider, and connect.
We're exploring how to make those question patterns visible.
Product in development01 / The idea
Most AI tools focus on better answers.
We begin with the questions.
Think Guasha is developing a human–AI reflection experience that looks at how questions emerge, branch, return and change across conversations. The aim is to help people explore their own thinking using traceable evidence rather than fixed labels or unsupported personality claims.
02 / Our approach
From conversations
to a clearer view of curiosity.
Question Map
Identify recurring topics, questions, and points of attention.
Thought Lineage
Trace where a question came from and how it evolved.
Evidence
Ground every suggested pattern in relevant conversation excerpts.
Reflection
Offer revisable interpretations and useful questions to explore next.
These are the intended directions for the product, not claims of a deployed automated system. Any future conversation analysis will require user authorization and appropriate privacy safeguards.
03 / Principles
04 / Founder
Jeehyeon Hwang
My work spans content, user experience, digital products and entrepreneurship. I am currently exploring cognitive science, AI and human–AI interaction, with a particular interest in translating complex knowledge into forms people can understand and use.