Method · Hireable · Forward-thinking
Rules before AI
Model the constraints first; let the model do the explaining
AI is better when it explains a trustworthy structure than when it invents the structure in real time.
Why rules come first
Get the deterministic core right, then let the model help. A model fluent in a domain it doesn't have rules for will produce confident, plausible, occasionally dangerous output — which in regulated work is the worst kind of output. Rules first means the model is allowed to be useful exactly where its usefulness can be checked.
What belongs in the deterministic layer
Eligibility logic, taxonomy, constraints, and irreversible rules. The things a domain expert can audit without running the model. The things a regulator would ask to see.
What belongs in the AI layer
Explanation, translation, and pathfinding through the rule system. The model is the translator between the user and the rules; it is not the source of the rules.
