Why the breakthrough in AI mathematical reasoning creates an urgent need for deterministic execution infrastructure The tipping point has arrived. As Quanta Magazine reports in their recent piece “The AI Revolution in Math Has Arrived,” AI systems solved five out of six International Mathematical Olympiad problems in summer 2025, and over half of research-level questions…
Last time I wrote about why most people outside tech hate AI, and what builders should do about it. This is the personal version of that argument. I’ve been writing calculator software for nearly 30 years. What drove me to write PowerOne in the first place was a deep desire to stop adapting to the…
Michael Domanic, Section’s Head of AI, published a short piece this week called “The chasm is already visible.” It’s worth reading. He lays out what’s happening inside Section: 154 pull requests in three weeks from a five-person engineering team. Pre-AI, per Domanic, that team would have shipped 54. Nearly 3x throughput improvement. He notes that…
The fear: LLMs will do everything. There won’t be any need for anyone to ever write a new product again! The world will be ruled by bespoke software products written by every Tom, Dick and Harry with a laptop! R.I.P. Good Times! Wow. Just wow. Relax folks. Deep breath. Step back from the ledge. Yes,…
Why deterministic math is a missing piece of the agent governance stack, and what it means for enterprises granting agents write access. Writing in CIO magazine in February, Hari Om Garg described the first time he watched an autonomous AI agent execute a multi-step workflow inside an enterprise. He did not feel excited. He felt,…
A few weeks ago, a landmark study finally landed in Organization Science after circulating as a Harvard working paper for a couple of years. It’s called “Navigating the Jagged Technological Frontier,” and if you work in AI or think seriously about where knowledge work is headed, it’s worth your time. The researchers — a team…
And if you’re building AI infrastructure, you need to understand why. Frequently, an investor or analyst looks at what we’re building at TrueMath and says some version of what we heard this past week: “You’re flying too close to the sun where the big models roam.” In other words, isn’t it just easy for OpenAI…
The Case for Math Governance in AI Financial Workflows A Field CTO at IBM Financial Services recently published a paper that should be required reading for anyone deploying AI in regulated financial environments. Raffi Khatchadourian’s “Replayable Financial Agents” poses a simple question: if a regulator asks your AI system to reproduce a flagged transaction decision,…
TrueMath is a deterministic math infrastructure platform for software developers. It’s not a calculator. It’s not an AI model. It’s a computation engine that produces auditable, reproducible, exact results inside software workflows, including natural language workflows. Think of it as the math layer that AI needs but doesn’t have. To show what that means in…
Anthropic’s expansion of Claude’s enterprise “Cowork” plugins marks an important inflection point in the evolution of AI systems. Claude is no longer positioned solely as a conversational assistant but as an operational actor capable of interacting directly with tools like Excel, PowerPoint, Google Docs and Sheets, and internal enterprise systems. This signals a broader shift…