Most profilers show you that something is slow — they don't tell you why. Building a pipeline that uses CUPTI hardware counters to classify each line of Python code as compute-bound, memory-bound, or latency-bound, then overlays that data onto Scalene's per-line output with AI-generated fix suggestions.