HardSpark is a workload refinery concept for measuring valuable AI-assisted tasks and finding the point where variable intelligence can become predictable software.
HardSpark compares inputs, outputs, corrections, cost, latency, and risk. Stable behavior can be translated into rules, lookups, templates, or conventional code, while uncertain cases continue to use bounded AI or human judgment.
The goal is not to hard-code everything. It is to make the keep, constrain, harden, or retire decision with evidence.
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