Neuro-Symbolic AI: Why Behavioral Contracts Work When Prompting Fails
Why prompting fails and how behavioral contracts combine neural intelligence with symbolic rules to create trustworthy, scalable AI systems.
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The ChatGPT Data That Challenges Everything We Know About AI Design
The first comprehensive study of ChatGPT usage analyzed 2.5 billion daily messages and revealed a fundamental mismatch: 49% of interactions involve collaborative thinking, yet most AI design optimizes for task completion. We're building for efficiency when users seek understanding.
How to Design Trust Into AI Systems (It’s Not What You Think)
Trust isn't a feeling users have about AI—it's designed infrastructure. Learn the five vectors of AI trust (Clarity, Control, Consistency, Disclosure, Repair) that enable systematic human-AI collaboration at scale.
How to Lead Design in the AI Era: My New Book is Here
Stop fearing AI displacement. Learn how design leaders can become essential to organizational intelligence with the AI+ framework for strategic relevance.
The Hidden Logic Layer: Where AI Design Actually Happens
Every AI+ system has a hidden logic layer that governs how it behaves—determining what data gets included, how uncertainty is expressed, and when to escalate to humans. This invisible layer, not the interface, is where AI design actually happens and competitive advantage is built.
The Hidden Cost of +AI Thinking
Organizations spending millions on AI implementations are seeing disappointing adoption rates while companies using AI+ approaches achieve widespread adoption. The difference isn't the technology—it's the design thinking. Most treat AI like traditional software, optimizing for the wrong outcomes.
The Biggest AI Mistake Design Leaders Are Making Right Now
Most design teams add AI the way they added dark mode: as a feature to check off. This “+AI” trap layers chatbots or summary buttons onto old systems. Users may see short-term gains, but without rethinking architecture, AI stays unintegrated—present yet untrusted, useful yet disconnected.
From SaaS to Service-as-Software: Designing the Next Generation of AI-Native Experiences
SaaS brought us access and scale. Service-as-Software is bringing outcomes, and with it, a new design imperative.
The Browser Is Waking Up
Browsers are no longer passive. Agentic AI is turning them into proactive partners, shifting what users expect and how products deliver. Design leaders must now rethink UX for systems that act, not wait.
Agent UX (AUX): Designing for the Next User
AI agents are no longer tools...they are users.
Agent UX (AUX) is the emerging discipline of designing for both humans and intelligent agents. If we do not design for agents, we are designing for obsolescence. The future of UX is not just human-centered. It is agent-aware.