AI & Innovation
Designing for an AI-native future.
I explore how artificial intelligence can become a practical, understandable, and responsible layer within products, organizations, and new business models.
Point of view
AI is a design material, not a destination.
The most interesting work isn't chasing the frontier — it's turning intelligence into a dependable layer inside real products and organizations. Legible interfaces. Predictable behaviour. Human control where it matters.
I work across three registers: AI as product surface, AI as internal operating layer, and AI-native company design — the companies that will be built assuming intelligence is a first-class primitive.
Capabilities
Practice areas across the AI stack.
AI product strategy
Framing where and how AI creates leverage in real products.
Agentic systems
Designing orchestration, tools, and human-in-the-loop patterns.
Human–AI interaction
Interfaces where intent, trust, and control stay in the user's hands.
Conversational & voice
Turn-taking, grounding, and multimodal interaction models.
Prompt & context engineering
Structured context, evaluation, and durable prompt systems.
AI-assisted design workflows
Figma Make and AI-native design ops for real teams.
Intelligent operations
AI embedded inside internal workflows, not bolted on top.
Automation & orchestration
Where automation belongs — and where it doesn't.
AI accessibility
AI features that work with assistive technology, not around it.
Explainability & trust
Making model behavior legible to real people.
AI-native company design
Companies built to run on intelligence from day one.
Applied in
Projects and ventures where AI is the substrate.
- Axis
- Syncopate
- Agreed
- MPAC
- Creative Titans
- AI teaching & workshops