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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Define an Outcome

What we learn operating AI

Human-in-the-Loop Data Capture

Claude Opus 4.6 and Agent Teams

The Review-Debt Problem

Engineering Natural Voice Agents

Scaling Outbound Without Headcount

AI in Pharma Manufacturing and Quality

AI in Algorithmic Trading

Designing the Handoff

When to Upgrade to a Newer Model

Red-Teaming Financial AI

Clearing Audit on First Pass

AI Patient-Facing Chatbots

Scaling Enablement Without Scaling Trainers

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