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.

Define an Outcome

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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Define an Outcome

What we learn operating AI

Human-in-the-Loop Data Capture

Testing AI Agents

AI in SME Lending

Gemini Against Claude for Document Intelligence

Audit Trails for Autonomous Agents

PRISM, Explained

Bias in Healthcare AI

Manus and the Autonomous Agent Promise

Graph AI for Money Laundering Detection

Sandboxing Agent-Generated Code

Long-Context Reasoning in Production

ATLAS, Explained

AI for Patient Engagement and Follow-Up

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