Perspectives on document data infrastructure, deterministic AI, and building systems that give the same answer every time.
Reliability is the foundation, not a feature. When it’s missing, the more interesting virtues stop compounding. That’s true of people, civilizations, and increasingly, AI.
Every major technology of the last twenty-five years increased the demands on human attention. AI is the first one that can reduce them. Whether that’s a gift or a curse depends on what it replaces.
AI was supposed to save time. For many organizations, a third of the time saved gets eaten by checking, fixing, and re-doing the AI’s work. The industry has a name for it: the AI tax.
The commercial incentives and industry attention still skew heavily toward capability. We think the work of closing the reliability gap is where the most consequential value in enterprise AI is being created.
Everyone wants AI agents that process documents autonomously. But autonomy without consistency is a liability.