Applied AI6 min read
Why AI automation fails after the demonstration
The demo used clean inputs, one happy path and a person watching. Production has none of those. Here is what usually breaks first.
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Notes from the build
Written from delivery experience rather than industry commentary. No predictions, no vendor claims — just the decisions that determine whether a system survives contact with real operations.
These are working notes, not thought leadership. Each one comes out of a decision we had to make on a real engagement and got asked about again afterwards — whether a workflow was worth automating, what a demo hides that production exposes, when buying another subscription beats building.
They fall into four areas. Applied AI covers what happens to a model once real inputs reach it. Software Delivery and Platform Engineering cover the release process and the infrastructure underneath it. Operations covers the build versus buy question and the tools teams outgrow. If you are new here, the clearest starting point is forward-deployed engineering explained without the jargon, which defines the term the rest of this site is built around.
All insights
Showing 6 articles.
Operations5 min read
When an internal tool is better than another SaaS subscription
Buying is usually right. These are the specific conditions under which building a focused internal tool costs less over time.
Read insightApplied AI6 min read
What production readiness means for an AI workflow
The checklist an AI workflow has to pass before it is handed to the people who depend on it: evaluation, thresholds, escalation and change control.
Read insightOperations5 min read
How to identify a workflow worth automating
Frequency, variation, cost of error and integration difficulty — four dimensions that separate the good candidates from the expensive ones.
Read insightPlatform Engineering6 min read
What growing teams should expect from a CI/CD foundation
A reasonable baseline for a team of five to twenty engineers — and the parts that are usually over-engineered too early.
Read insightSoftware Delivery5 min read
Forward-deployed engineering, explained without the jargon
What the term actually means in practice, how it differs from outsourcing and staff augmentation, and when it is the wrong fit.
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