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When NOT to use machine learning in your product
JLJúlia Lima6 min read
Not every problem needs a model. An honest guide.
Most companies don't have a data problem. They have a distance problem: the data exists, but it's too far from the decision.
The four layers
Every pipeline that decides well is made of four clear layers — collection, structuring, intelligence and outcome. The discipline is to keep them separate, each with its own contract.
End-to-end traceability
Every decision carries its full lineage: which sources it came from, how it was processed, which model produced it and with what confidence. The answer is one click away.
From data to fuel
The result is an operation where data stops being a report and becomes fuel — silently, all the time, in the right place.
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