Insights
What we have learned, written down.
Articles about the work: prototyping, applied AI, campus and business systems. No customer stories yet, because there are no customers yet.
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What a clickable prototype should actually contain
A prototype earns its place by being argued with. Here is what belongs in one, what does not, and how to tell in an afternoon whether the idea holds.
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Off-the-shelf CRM or a custom one: how to decide
Most teams pick a CRM before they know what they need it to do. Four tests that settle whether to buy, configure or build, and the costs each choice hides.
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Data readiness: what you need before a forecast is possible
Most failed AI projects fail on data that was never recorded, not on modelling. Five checks that tell you in a morning whether your question can be answered at all.