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…
At the recent ICML 2025 conference, Mark Khoury from Hudson River Trading (HRT) described the firm’s development of foundation-style transformer models trained on decades of market microstructure data. The result is a trillion-token-scale dataset spanning equities, futures, and crypto. Matt Robinson from AI Street, provided some great coverage of the presentation. It’s a huge step…
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…
Bill Kelly and I have known each other for over 20 years. Across countless conversations about software, usability, and the mechanics of getting things right, one thing eluded us: the right project to build together. Bill started playing with ChatGPT, Claude, and Gemini to write documents. Because old habits die hard*, I kept asking math…
Last April, Tina He asked a deceptively simple question that still echoes when we consider agent math: What happens when AI agents become your primary users? That question opened a clear line of inquiry. If AI agents are the ones clicking buttons, reading documents, and deciding what APIs to call, then a lot of software…
I’ve sat at tables during funding pitches and heard a senior leader ask, “How did you determine that number?” The last answer the senior leader wants to hear is, “I don’t know.” Or worse: “I did the math and got a different answer.” In finance, this is even more dangerous. It’s a regulated industry, and…
AI Math doesn’t have to guess. See how reliable, deterministic calculation unlocks real AI workflows like ROI analysis, what-if modeling, and scenario planning.
Math you can’t audit is math you can’t use—especially in AI workflows. Language models guess; TrueMath proves. When precision, repeatability, and traceability matter, TrueMath turns natural language into deterministic, auditable calculations with full visibility into every step. Don’t settle for probabilistic math. Get results you can explain, repeat, and trust.
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