For systems that think, learn, collaborate — and sometimes get it wrong.
* Staff Product Designer shaping trustworthy interaction between people and complex intelligent systems. Currently at AutogenAI, previously SATIS.AI. Architecture & urban design before that — which is, it turns out, where I learned everything I know about ambiguity, context and emergent behaviour.
Venus is a London-based human–AI interaction designer with a background in architecture and urban design. She designs products where humans need to understand, guide and trust complex systems — from generative AI proposal platforms at AutogenAI to computer-vision systems in the chaotic operational environments of fast-food kitchens.
Before AI, she spent nearly a decade at Studio Ra and earlier practices working on service blueprints, customer journeys and the built environment — learning, in retrospect, exactly the right things to bring to systems that are contextual, emergent and probabilistic.
Outside of work she draws cartoons, travels, and pays attention to the small ways people quietly negotiate with the machines around them.
Human goal → System action
Help users see what the system is doing, why, and what to do next. The interface is the explanation.
Design for confidence, correction, control and accountability — not for AI magic.
The AI doesn't live in a vacuum. It lives in kitchens, bids, teams and human routines. Design that.
Move AI from tool to teammate — without removing human agency or judgement.
Interaction design has to evolve as systems stop being deterministic. What we lose, what we gain, and what stays the same.
Notes from designing for kitchen staff, warehouse operators and other users on whom AI is being deployed — rather than chosen.
Confidence, sources, citations, control points: why most of the trust work in an AI product happens at the surface, not in the model.
An adjacent practice. Most of what I do as a product designer started here — in single drawings that have to explain an entire system to a stranger in fifteen seconds. The skill transfers directly to designing for AI: half the job is making something probabilistic look like something a human can hold.
A talk on moving from deterministic interfaces — the command line and its descendants — to goal-oriented, collaborative systems. Where the user holds the goal, the system holds the means, and the design holds the relationship.