Insights
Notes on building AI people actually use
Practical, hype-free thinking on applying AI in real organizations — readiness, adoption, data, and the difference between a demo and a system.
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Does your ethical wall survive the AI connector?
Every AI tool now promises to 'respect your existing permissions.' Before you compare features or prices, run one test: can the assistant show a user something they can't open t...
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What 'AI readiness' actually means for a small organization
AI readiness has little to do with the model you choose. It comes down to four unglamorous things — data, process, people, and a clear goal. Here's how to tell where you stand.
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Why AI projects get abandoned — and how to build ones people use
Most software doesn't fail because it's poorly built. It fails because it doesn't fit how people actually work. Here's the pattern — and how to avoid it.