Writing
Designing for tomorrow. Thinking out loud about AI, human–machine interaction, and what comes next.
The Convergence Gap
AI makes independent work faster. The harder question is how all that work feeds into shared learning, strategy, and outcomes.
The Missing Middle: Buttons, Bots, and the Future of Interfaces
The interface debate keeps getting framed as buttons versus bots. Both camps are arguing about the ends of a spectrum and missing the part where most of real life actually happens: the middle.
YourAgent.Network field notes
A running log from the YourAgent.Network experiment — 4 notes so far.
Making Room for Agents in Expert Tools
Notes on what it takes to bring agents into expert tools without breaking the trust and fluency expert users have already built inside them. Four design experiments across security, network operations, policy administration, and financial position management.
What Does It Actually Take for AI Agents to Think Together?
I built a seven-agent AI consulting team and tested whether Mycelium, a structured coordination layer, could turn message-passing into actual decisions.
What Running AI Agents on My Mac Is Teaching Me About Enterprise AI
Running local agents has revealed surprising parallels to enterprise deployment challenges — and some lessons that only emerge from hands-on experimentation.
Is AI Prototyping Making It Harder to Get Anything Done?
AI prototyping tools have changed the pace of design and development work. But they've also altered how teams transition from exploring ideas to executing on decisions.
Designing Human-Machine Interactions in an Autonomous Agent World
As agents take on more autonomous roles, the nature of human-machine interaction shifts from direct manipulation to oversight, collaboration, and trust calibration.
Designing for States, Not Screens: What OpenAI's Agent Push Means for UX
Agent-driven interfaces don't have screens in the traditional sense. They have states — and designing for states requires a fundamentally different approach.
Beyond the Thumbs Up: Rethinking Metrics for the Internet of Agents
How do we measure success when AI works with us, not just for us? Traditional AI metrics focus on speed and accuracy, but the real question is: does AI make us better decision-makers?
AI Lens - Revolutionizing User Interaction with Contextual AI
AI Lens explores how contextual AI can transform the way users interact with complex data by surfacing relevant insights in real-time.
Storytelling with NotebookLM
I used Google's NotebookLM to create a podcast about my career. It was surprisingly engaging and gave me great ideas for storytelling.
Enhanced AI Conversation Navigation and Management for User Action Assistant
Knowledge workers have diverse levels of ability when it comes to engaging with AI Assistants, and traditional AI chat experiences are linear and restrictive.
Mapping User Journeys for Emerging Technology
In emerging technology, journey mapping needs to shift from identifying existing workflows to hypothesis building and exploration.
Why Customer Research Falls Short in Emerging Technology
How do you ask customers about a future they can't imagine? Designing for the unknown requires embracing uncertainty, exploring possibilities, and rethinking how we innovate.
Generative Thinking: Moving Beyond the Limits of Design Thinking
Generative thinking moves beyond the structured, linear approach of design thinking. It embraces the complexity of emerging technologies, focusing on iterative exploration and systems-level solutions.
When AI Needs a Human: What Car Buying Reveals About the Real World
The car-buying concierge service Delivrd offers a case study in the limitations of AI agents operating in the real world.