When organizations try to operationalize AI without computation governance, the failures follow a pattern. The three failure modes When organizations try to operationalize AI using existing containers for logic, they hit the same three walls: 1. The reproducibility problem Six months ago, your pricing model calculated a specific rate for a specific customer configuration. Now…
AI is reaching production—but the infrastructure isn’t ready. This post explores the spreadsheet problem: why brittle tools like Excel are still holding critical logic, and why deterministic execution layers like TrueMath are becoming essential as AI shifts from predictions to operations.
We get asked a lot by investors, partners, friends, and family: “Won’t the LLMs just figure this out?” It’s a fair question. And since we started working on TrueMath, we’ve seen clear improvements in how language models handle math. They write better code, make fewer obvious mistakes, and in many cases, they sound more correct…
I didn’t get bad code because an LLM can’t write software. I got bad LLM code because I gave it too much freedom. I was working on a new feature for TrueMath this past week. I’d already written it before, but it lived behind an admin wall, and I wanted to elevate it for customers….
Excel has long been the gold standard for business math. It’s shareable, auditable, and incredibly flexible. A platform that has powered everything from start-up pro formas to billion-dollar valuations. So when Anthropic announced that Claude was coming to Excel, it felt like a natural pairing. Claude’s conversational intelligence inside a spreadsheet environment? That could be…
How Software Development Really Works I’ve been developing software for 40 years. I’m mostly self-taught and because of that (and my personality), I’ve spent a lot of time thinking about the process of developing software, not just the code. While most of my software development has been in small companies I founded or personal side projects, my…