A framework for deciding what work is safe to hand to an AI agent has been a topic of recent conversation. On the Section blog, Michael Domanic, their Head of AI, published a piece walking AI leaders through how to decide what is safe to automate. He plots every candidate workflow on two axes: blast…
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…
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…
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…
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,…
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…
Is AI Math solved? Maybe you think it is if Math Olympiad results mean “solved.” But what if “solved” means ready for reliable, production scale utilization?
The First Shift: Capability Matt Shumer is right. Something big is happening. The acceleration in AI capability is not incremental. It is structural. Tasks that once required teams now require prompts. Work that once demanded weeks of coordination now compresses into hours. Intelligence, at least in its procedural form, is becoming abundant. That transformation will…