Build Smart, Build AI
A practical guide to making AI work inside what you are building
Drawn from Architected Intelligence by Jacob Miller
Design for AI from the Start
AI bolted onto an existing product rarely works. AI designed into a product from the beginning changes what the product can do.
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Finding Your AI Opportunity
Not every problem in your business is an AI problem. The skill is in identifying the ones that are.
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AI Workflows That Actually Work
The difference between AI that demonstrates well and AI that works reliably is the quality of the workflow built around it.
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Data Is Your Foundation
The AI is only as good as the data it learns from. Most AI failures are data failures, not model failures.
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What Good AI Performance Actually Means
Accuracy is not the only metric. An AI that is 95% accurate can still be catastrophically wrong if it fails on the 5% that matters most.
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Watching Your AI in Production
An AI system that is not monitored will drift. You will not notice until the drift has caused a problem.
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Building the Right Team
The constraint on AI adoption in most organisations is not technology — it is people and culture.
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Building for Scale
The AI system that works for 100 users rarely works unchanged for 100,000. Architecture decisions made early determine what is possible later.
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