Decide what comes next
If the prototype demonstrates real value, the logical next step is bringing in a technical
partner to develop it into a production system. A prototype that works is the most
persuasive argument for that investment.
Build a basic demonstration
Create a simple way for others to interact with the output. It doesn't need to be polished.
The goal is to make the model's potential visible to stakeholders who weren't part of
building it.
Test on data your model hasn’t seen
Run your model against the 20% you set aside. If it performs significantly worse than it
did on training data, the model memorized rather than learned — a common problem
with a set of known solutions.
Days 31-60
Phase 2: Refine, test, and demonstrate value
Experiment with your model’s settings
Try different configurations and keep what scores highest on your training data. Change
one setting at a time. It's the only way to know what's actually working.
Review the mistakes carefully
Manually examine the examples the model got wrong. Failure patterns almost always
reveal a gap in your training data. Fix the most significant problem you find, retrain, 
and retest.
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