What we learn operating AI

Every post draws on a system we engineered and still answer for in production, written by the engineers and leaders accountable for it, so each lesson has already been tested against real users and real auditors.

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Agentic AI27 July 2026

Human-in-the-Loop Data Capture

Most capture pipelines put the reviewer at the end of the line, where a finished extraction looks settled and gets waved through. Oversight earns its keep at the point the agent is unsure, which makes this a placement decision before it is a staffing one.

Shardul SinghCTORead the blog

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What we learn operating AI

Human-in-the-Loop Data Capture

Intelligent Document Processing in Insurance

Function Calling Maturity

Domain AI for Legal Work

Explainable AI in Finance

AI for Patient Engagement and Follow-Up

ATLAS, Explained

Long-Context Reasoning in Production

Sandboxing Agent-Generated Code

Graph AI for Money Laundering Detection

Manus and the Autonomous Agent Promise

Bias in Healthcare AI

PRISM, Explained

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