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Five questions we ask before starting an AI project
Most AI projects fail somewhere between the demo and production. These are the questions we work through first, and what a bad answer to each one actually costs.
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What we are learning about AI, engineering and building products — written up properly, not summarised into nothing.
Most AI projects fail somewhere between the demo and production. These are the questions we work through first, and what a bad answer to each one actually costs.
Read the postthree.js is around 300kb gzipped. Here is how we put a real 3D scene on a marketing homepage and still kept the mobile performance score above 95.
Read moreRead Shipping a WebGL hero without wrecking your Lighthouse scoreThe cross-platform question does not have a universal answer, but it does have a decision procedure. Here is the one we use, and the three signals that override everything else.
Read moreRead React Native, Flutter, or native: how we actually decideTell us what you are trying to build. We will tell you honestly whether we are the right people for it.
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