Current work
I use dootang and Pranee Audit to explore how to turn my experience into work of my own. They begin with different questions, but both bring me back to boundaries, trust and responsibility.
These stories gather the reasons behind choices, what the evidence can support, and the questions it leaves open. They are a place I can return to and keep thinking.
Shared money, with room for privacy
In development · Design prototype
dootang explores how people managing money together can see what they need to share, while each person still chooses which transactions to disclose and to whom.
The story begins with visibility boundaries and a choice in the prototype when AI is uncertain. It does not establish that an implemented system protects privacy or improves relationships.
A record we should be able to check
In development · Running system using sample data
Pranee Audit explores how much we can trust a system’s record of change. A list of events helps us look back, but leaves another question: was the stored information changed afterwards?
Evidence from a system running with sample data shows a mismatch detected during a simulated edit. The story needs to explain both what that result tells us and what it cannot guarantee.
Designing trust through systems
In dootang, the question is who should see what. In Pranee Audit, it is how much we can trust what we see. Both give me a way to practise making boundaries clear before concluding that something I built does its job.
Both are still in development. These accounts include what was chosen and what remains to be demonstrated.