Speaking & media
Reporting, interviews, podcasts, and talks about the systems I work on and what it takes to run them.
As seen in
TechTarget · Pam Baker
Quoted on why product operating models fail when leaders are still rewarded for utilization, project completion, and fixed scope.
Open the source ↗Related Field Note: Your product team still has a project scorecard
E-Commerce Times · John P. Mello Jr.
I spoke with John P. Mello Jr. about AI introducing shoppers to brands they would not otherwise consider, and why product catalogs need to make sense to the agents recommending them.
Open the source ↗Related Field Note: The website becomes the infrastructure
IT Brew · Billy Hurley
I spoke with IT Brew about the systems behind checkout, testing failure states, and the operational responsibilities that start when a business takes orders online.
Open the source ↗Related Field Note: The AI took the order. Now what?
Salesforce · Coffee & Commerce
My conversation with Caila Schwartz about building with AI, Storefront Next, and commerce agents.
Open the source ↗Salesforce
A practitioner perspective on what Storefront Next changes, and what better tooling still cannot fix.
Open the source ↗NRF / Salesforce
A practical conversation with Salesforce and retail leaders about complexity, foundations, and what teams need next.
Open the source ↗Studio Science
Representing Studio Science with a partner view on customer needs and the commerce ecosystem’s shift toward AI.
Open the source ↗Commerce Innovators
A conversation with Jeff Cannon about delivery constraints, time to value, unified commerce, and adaptable technology decisions.
Open the source ↗composable.com
A discussion I moderated with Algolia, Netlify, and Stripe on search, content, payments, performance, and composable architecture.
Open the source ↗Salesforce Simplified
A long-form conversation about Commerce Cloud, SaaS architecture, multi-brand operations, and business ownership of commerce.
Open the source ↗
I’m interested in the decisions underneath the technology: what changed, what failed, and what the team has to live with afterward.
Applied AI
What I’ve learned by letting AI write real systems: what got faster, what got worse, and where senior judgment still earns its keep.
Agentic systems
Agent behavior and service boundaries are different choices. Once a model can use tools, authority, identity, orchestration, auditability, and escalation matter.
Commerce + AI
What happened when I gave AI a storefront, platform APIs, and permission to build. What worked, what failed, and where I had to intervene.
Architecture
Ownership, vendors, costs, releases, and the knowledge held by the people running it. A diagram can leave out most of what makes a system difficult to change.