From the Workshop
Engineering notes from the field — architecture, automation, and agentic AI.
Three Layers Deep: Building a Fraud Detection System That Knows What It Doesn't Know
A single fraud model gives you a number. It doesn't tell you why it's suspicious, or what to do when it's not sure. Sentinel is a fraud detection system built in three layers — rules that catch what's obvious, models that catch what's subtle, and a routing layer that sends the uncertain cases to a human instead of guessing.
When Models Disagree: General Patterns, Specific Problems
Every model is trained on general patterns. Your business runs on specific ones. When they match, it's magic. When they don't, it's 'Shop Now' instead of 'Careers.' The value isn't in the model — it's in knowing where your case falls.
From Proving to Predicting: When Two Models Disagree
We ran logistic regression and neural networks on the same ad tech data. They told different stories. Which one do you believe? That's the same trust problem behind every AI agent and every automated decision.
When the Numbers Lie: Statistical Modeling in Ad Tech
A new ad design 'won' overall — until we broke it down by segment. Two groups actually converted better on the old design. Aggregate metrics hide where your model actually fails.
The 80% Problem: What Supply Chain Taught Me About AI Agents
AI agents process thousands of companies a day — but still need a human to verify the results. I built this same escalation pattern a decade ago in global supply chain. The tools changed. The architecture didn't.
Know Your Business: Building an AI Engine That Verifies 1,900 Companies a Day
How we built a fully automated KYB verification engine that processes thousands of companies daily — from data sources and tiered processing to stealth browsing and eight verification signals.
The Sovereign Stack: Why a Lead Architect Builds His Own Infrastructure in the Rockies
Why Walsenburg Tech self-hosts on Hetzner and Coolify — bare metal strategy, identity management, monitoring challenges, and the cost wins that make it all worthwhile.
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