In sales, support, and fintech workflows, teams rely on prompts to classify conversations, extract signals, and route decisions.
A skilled prompt engineer can make 100 examples look perfect.
That is exactly the problem.
Here’s the contradiction nobody talks about:
the more skilled you are at writing prompts, the more dangerous your process becomes.
Because intuition works on small samples.
It does not generalize to 10,000 inputs, multiple failure modes, and cost constraints you have not measured.
Expert intuition produces prompts that feel right.
But they cannot be reliably reproduced, versioned, or defended with metrics.
The fix is not better intuition.
It is replacing intuition with an objective function.
Dataset → Evaluator → Optimizer → Ranked prompts.
This is the same class of problem as hyperparameter tuning.
We just forgot to treat it that way.
Our team documented the full workflow in a cookbook.
https://shorturl.at/aI0zg
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