Toward a More Mature Culture of Experimentation
A/B testing is one of the most valuable tools in modern digital product development. Used well, it gives teams something rare and precious: causal evidence. Instead of relying on hierarchy, opinion, intuition, or the most persuasive person in the room, teams can expose different users to different experiences and measure what actually happens. The advance…
Agency, Autonomy, and Intelligence: What Makes an Agent Agentic?
In the first two posts in this series, I explored why it may be useful to think of agentics as a way of studying AI agents more systematically. The first post asked why we might need a science of agents at all. The second looked across disciplines to ask what different fields mean by “agent,”…
The Merchant’s New Moat
In my previous post, I argued that site personalization may be entering a discontinuity. Historically, the site knew the user best — at least within the boundaries of its own property. It could observe browsing, clicks, purchases, watch history, dwell time, returns, and other forms of first-party behavioral signal, and use those to personalize ranking,…
Personalization in an agent-mediated world
I was recently speaking with a product leader at a media company about personalization across e-commerce and media, when the conversation turned to the future of personalization. Broadly speaking, site owners have to deal with two types of audiences: Frequent flyers: high-intent, high-signal users whose behavior you can model richly — but mostly within the…
What Is an Agent, Really? A Cross-Disciplinary View
In the first post, I suggested that we might benefit from a clearer way to think about AI agents — something I called agentics. Before we can talk about a science of agents, though, we need to confront an awkward fact: Different fields mean different things when they say “agent.” So in this post, I’ll…
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