In Industrial Commerce, the Verifier Is a Person
Compute buys proposals; verifiers buy knowledge. In industrial commerce the verifier is an applications engineer, the scarce input in industrial AI.
Practical guidance for industrial AI teams.
Field notes from the operators shipping grounded AI. No white papers.
Patterns to copy. Mistakes to skip. Architecture to interrogate.
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AI Agents Shouldn’t Just Save Time. They Should Help Drive Revenue.
The bigger opportunity with AI agents in industrial businesses isn’t hours saved. It’s incremental revenue: faster response, and complex products easier to buy.
People Want the Results. Few Want the Method.
Spain won everything at once on a twenty-year academy decision nobody wants to copy. The same pattern explains why Silicon Valley is nearly impossible to copy.
Industrial Companies Don’t Need Another AI Pilot. They Need a Way Home.
Getting an AI pilot approved is the easy part. Getting it into production still feels like The Odyssey. Here is what separates a chatbot from an AI teammate.
Industrial Manufacturing Has Spent Decades Optimizing Products. The Next Decade Will Be About Optimizing Customer Experience.
Agentic AI is not the strategy. The advantage comes from combining it with product knowledge and business processes to make products easier to buy and support.
What Spain’s World Cup Says About Building Anything Hard
Spain conceded one goal in the entire tournament. Nobody buys a shirt for pressing coordination, but the unglamorous part is the part that decided it.
Why AI Gets Industrial Product Questions Wrong, and What Actually Fixes It
A talk from Automate, written down. Coding agents have a free verifier; industrial product data has none. Here is what a harness actually does about it.
The Untrainable Corner of Industrial Commerce
Anything you can measure becomes a benchmark and commoditizes. Industrial commerce has no free verifier and no public ground truth, so the work survives.
If You’re Coming to Automate Next Week, Here’s the Talk I’d Skip the Show Floor For (just for a bit)
A chatbot quotes the wrong pressure transmitter and someone eats a five-figure return. Why hallucinations were never a bug, and what a grounding harness fixes.
The System of Intelligence for Industrial Commerce
A16z calls the layer that reads the CRM and tells you what to do the "system of intelligence." Here is what that looks like in industrial distribution.
Every Rep Should Know Every SKU. Now They Can.
The deep product knowledge inside a distributor’s best reps is extraordinary, and fragile. Here is what happens when you encode it so every rep can query it.
Your Buyers Want Immediate Answers. Your Best People Deserve Better Questions.
75% of B2B buyers now prefer to research without a rep, and prefer AI for questions that feel too basic to ask a person. The goal is better conversations.
Your Buyers Are Now Being Advised by AI. Are You in That Conversation?
There is no position one in generative search. When a buyer asks an AI which distributor to trust, your brand is either cited or invisible.
The Demand Is Coming. The Question Is Whether You’ll Be Ready for It.
ITR Economics’ leading indicators point up: 2026 is a favorable cycle. The bottleneck won’t be inventory — it will be the people answering technical questions.
Hallucinations Are Not a Bug. They’re How LLMs Work.
Hallucinations aren’t a bug to fix — they’re how LLMs work. Here’s what that means for industrial distribution, and what to build instead.
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