Category: Applied AI
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Will AI replace outsourced developers? What actually changes about team economics
AI compresses the mechanical middle of software work. It does not compress judgement — and that changes who wins in outsourcing.
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Buy or build? A straight answer on internal copilots
Buy when the workflow is generic and the data is simple; build when permissions, domain data or audit dominate. And the hybrid that usually wins.
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The pilot graveyard: why enterprise AI pilots die, and the org-chart reasons nobody admits
AI pilots rarely fail on technology. They die from missing owners, missing budget lines, and permissions nobody untangles.
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Golden datasets before golden demos: building eval suites clients trust
What a golden dataset is, why domain owners must adjudicate it, and how regression evals in CI make AI systems safe to change.
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Agent autonomy is earned per workflow, not granted per project
Approval gates wherever money, data or risk moves — and an autonomy ladder each workflow climbs on eval evidence, with an audit trail per action.
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Your RAG demo works. Here’s the six months between that and production.
The gap between an impressive retrieval demo and a production system is six kinds of work — and most of them are not model work at all.