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

Personalisation That Holds Up at Scale

Claude Opus 4.1 for Enterprise Coding

The Supervisor Pattern for Multi-Agent Systems

Next-Best-Action for Relationship Managers

Notion’s Workspace Agents

Knowledge Graphs and RAG

AI Nursing Assistants and Workflow Support

Order, Delivery and Returns Calls

The Best Models for AI Agents

Failure Analysis for AI Agents

AI in Mortgage Processing

Monitoring Clinical AI in Production

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