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AI in production, in practice.
Real workflows, measured outcomes, and the lessons from an 18-month internal rollout — no hype.
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Your Engineers Have Copilot. Your Delivery Speed Did Not Change.
The same tool has been measured making developers 55% faster and 19% slower, and both studies were carefully run.
Your AI Feature Passed Every Eval and Is Failing Right Now
Every test passed and the feature has been wrong for six weeks. The six signals a production AI feature needs, which of them should page a human, and who owns the response.
How to Test AI Features When Outputs Are Non-Deterministic
Somebody in your organization is signing off on releases using a definition of "passing" that stopped describing the system. If you run engineering or QA at a…
How Much Does AI Product Development Cost in 2026
The model API bill is usually the smallest of seven budget lines. What an AI product costs to build and to run in 2026, with realistic ranges and the driver behind each one.
Should You Hire an AI Team, Outsource It, or Go Fractional?
Two companies approve the same AI budget in the same quarter. Twelve weeks later, one has a claims-triage workflow running in production and a second one…
Why Your AI Business Case Dies in the Second Meeting
A CFO and a CISO can read the same AI proposal and reach opposite conclusions without either of them being wrong. One is reading a payback horizon. The other…
Nobody Designs the Screen Where AI Agent Failures Land
Somewhere in the deployment there is a spreadsheet called something like "agent issues (temp)". It has no schema and no owner. Somebody made it in week two,…
What Is AI Workflow Automation, and When Does It Pay Off?
Rule-based automation breaks in your face. That turns out to be its best feature, and it is the one thing an AI workflow quietly takes away.
Why RAG Is No Longer Enough for Enterprise AI
The retrieval pilot works. It answers questions about the policy library, the contract archive, the support history. It demos beautifully. Eleven months later…