Thinking
A curated canon, not a feed. The pieces I'd point you to on the behavioral layer of AI, how systems act, earn trust, and recover when they're wrong. Each links out to where it lives.
Essays
Ranked · 10AI Products Have a Behavioral Layer. Almost No One Owns It. →
The layer that decides how AI signals confidence, escalates, and recovers is the new UX, and almost no one owns it.
The Hidden Logic Layer: Where AI Design Actually Happens →
The real design work moved below the interface, into the logic that governs how a system behaves. This names where it went.
The Biggest AI Mistake Design Leaders Are Making Right Now →
Plus-AI versus AI-plus: bolting intelligence onto a product versus architecting around it, and why only one compounds.
The Agentic Interface Has Two Faces. We're Building the Easy One. →
Every agentic product serves humans and machines at once. The industry is building only the easy half.
How to Design Trust Into AI Systems (It's Not What You Think) →
Trust isn't a feeling you hope for. It's engineered across five vectors: clarity, control, consistency, disclosure, repair.
Designing for Trust: Why Explainability Alone Falls Short in AI →
The research says explainability barely moves trust. Consistency and repair are what earn it.
Neuro-Symbolic AI: Why Behavioral Contracts Work When Prompting Fails →
Why prompting alone can't make an agent behave, and what a testable behavioral contract does instead.
The Self-Maintaining Framework: What AI-Native Operations Actually Look Like →
What AI-native operations actually look like: human judgment authored once, then faithfully propagated by the system.
Agent UX (AUX): Designing for the Next User →
Agents are users now. Designing for them is the next accessibility.
When Regulators Design Better Than We Do →
A Chinese AI law did what most design principles can't: specify behavior precisely enough to enforce.