Assistivity
Assistivity
ROLE
Co-Founder & Design Lead
TIMELINE
January 2025 - Present
TEAM
Kenneth Ge, Priscilla Zhang
SKILLS
Product Design, Development, User Research, Collaboration
ROLE
Co-Founder & Design Lead
TIMELINE
January 2025 - Present
TEAM
Kenneth Ge, Priscilla Zhang
SKILLS
Product Design, Development, User Research, Collaboration
ROLE
Co-Founder & Design Lead
TIMELINE
January 2025 - Present
TEAM
Kenneth Ge, Priscilla Zhang
SKILLS
Product Design, Development, User Research, Collaboration
OVERVIEW
Creating an AI Voice to Math workspace to help students write math naturally.
We are designing and building an AI-driven workspace that lets users dictate math naturally and explore relationships visually. The project blends research, design, and voice interfaces to make math more accessible and focused on understanding, not mechanics.
Creating an AI Voice to Math workspace to help students write math naturally.
We are designing and building an AI-driven workspace that lets users dictate math naturally and explore relationships visually. The project blends research, design, and voice interfaces to make math more accessible and focused on understanding, not mechanics.
Creating an AI Voice to Math workspace to help students write math naturally.
We are designing and building an AI-driven workspace that lets users dictate math naturally and explore relationships visually. The project blends research, design, and voice interfaces to make math more accessible and focused on understanding, not mechanics.
OPPORTUNITY
When Thinking Is Faster Than Typing.
Typing math is frustrating and presents challenges for students with fine motor disabilities. Not only users iwth disability needs but also generally there are many challenges with writing pricise mathematics.
When Thinking Is Faster Than Typing.
Typing math is frustrating and presents challenges for students with fine motor disabilities. Not only users iwth disability needs but also generally there are many challenges with writing pricise mathematics.
When Thinking Is Faster Than Typing.
Typing math is frustrating and presents challenges for students with fine motor disabilities. Not only users iwth disability needs but also generally there are many challenges with writing pricise mathematics.
We saw an opportunity to make math creation as natural as speaking.
WHY THIS MATTERS
Math Should be Accessible to Everyone
This project began with a personal and immediate problem. Our co-founder was highly capable in mathematics, but a wrist injury made it painful and difficult to physically write equations. Despite having the knowledge and ability to succeed, the act of writing became a barrier.
Math Should be Accessible to Everyone
This project began with a personal and immediate problem. Our co-founder was highly capable in mathematics, but a wrist injury made it painful and difficult to physically write equations. Despite having the knowledge and ability to succeed, the act of writing became a barrier.
Math Should be Accessible to Everyone
This project began with a personal and immediate problem. Our co-founder was highly capable in mathematics, but a wrist injury made it painful and difficult to physically write equations. Despite having the knowledge and ability to succeed, the act of writing became a barrier.
That experience became a strong motivation for us:
As we explored the broader opportunity, it became clear that many others could benefit from a hands-free math tool, including students, educators, researchers, and people navigating temporary or long-term physical limitations.
SOLUTION
Turning Spoken Math Into Structured Equations
We designed a hands-free math tool that allows users to create and edit mathematical expressions using voice. Instead of relying on keyboards, equation editors, or handwriting, users can speak naturally while the system converts their input into properly formatted math in real time.
Turning Spoken Math Into Structured Equations
We designed a hands-free math tool that allows users to create and edit mathematical expressions using voice. Instead of relying on keyboards, equation editors, or handwriting, users can speak naturally while the system converts their input into properly formatted math in real time.
Turning Spoken Math Into Structured Equations
We designed a hands-free math tool that allows users to create and edit mathematical expressions using voice. Instead of relying on keyboards, equation editors, or handwriting, users can speak naturally while the system converts their input into properly formatted math in real time.
FLOWS
Making Thinking Visible
Threaded Reply
Responses are grouped under the original question to improve clarity and flow.
Threaded Reply
Responses are grouped under the original question to improve clarity and flow.
Early Traction & Accomplishments
Although still in an early stage, the project has already generated strong momentum across research, funding, and institutional interest.
Early Traction & Accomplishments
Although still in an early stage, the project has already generated strong momentum across research, funding, and institutional interest.
Early Traction & Accomplishments
Although still in an early stage, the project has already generated strong momentum across research, funding, and institutional interest.
STARTING FROM ZERO
PRODUCT PRINCIPLES
EXPLORATION & KEY CHALLENGES
COLLABORATION & BUILDING 0→1
CURRENT STATE
REFLECTION
What I have learned so far
Designing for thinking, not just tasks
This project pushed me to move beyond designing for task completion and instead consider how interfaces shape curiosity, reflection, and sensemaking. It reframed my definition of success in AI, from faster answers to more intentional thinking.
Making the invisible visible
Working with thinking patterns meant designing for something users can’t normally see. I learned to translate behaviors like revisiting ideas, following tangents, and forming connections into visuals that feel clear, lightweight, and immediately understandable.
Designing for thinking, not just tasks
This project pushed me to move beyond designing for task completion and instead consider how interfaces shape curiosity, reflection, and sensemaking. It reframed my definition of success in AI, from faster answers to more intentional thinking.
Making the invisible visible
Working with thinking patterns meant designing for something users can’t normally see. I learned to translate behaviors like revisiting ideas, following tangents, and forming connections into visuals that feel clear, lightweight, and immediately understandable.