Operate the Agent → Control the Agent → Understand Its Economics
A practical framework for running AI agents in production: operate their behavior, control their authority, and measure the economics of every…
AgentOps Is the New DevOps: How to Operate AI Agents in Production
A practical operating model for tracing, evaluating, securing, budgeting and improving AI agents after they leave the demo environment.
The Model Was Never Your Moat: What Actually Makes an AI Product Defensible
Models improve, prices move and providers change. A defensible AI product is built on workflow, data, distribution, integrations, evaluations,…
Why Most AI Projects Fail After the Demo Works
AI demos prove capability. Production proves reliability, ownership, cost control and business value. Here is the operating checklist most…
The Four Production Products Behind My AI-Native Business Stack
A practical look at how ContentCTL, SocialCTL, BackCTL and H22T work as one connected AI-native business stack—from knowledge and creation to…
AI Overviews and the End of Borrowed Traffic
AI Overviews and zero-click search are changing the old content bargain. Founders should use search for discovery, but build owned channels…
The New Cloud Engineer Will Manage Agents, Not Just Servers
Cloud engineering is expanding beyond servers, containers, and pipelines. The next generation of cloud engineers will operate agent fleets,…
AI Coding Agents Can Increase Output. But Are We Measuring the Right Outcome?
AI coding agents are increasing visible engineering output. The harder question is whether more pull requests, commits, and generated code…
The Playbook for a $100M AI Agency
A practical founder playbook for building an AI agency with productized offers, strong delivery systems, compounding distribution, and an…
US Government Just Killed Claude Fable 5
A grounded founder analysis of the viral “US Government Just Killed Claude Fable 5” framing and what it really signals for AI builders,…