Binary Hat — InsightsEngineering field notes on accuracy SLAs, edge inference, DPDP compliance, and the choices that matter over a five-year safety-vision deployment.https://dev.paperstox.in/Eval-first is the only honest way to ship AIhttps://dev.paperstox.in/insights/eval-first-shipping-ai/https://dev.paperstox.in/insights/eval-first-shipping-ai/The SLA argument generalises. Whether you're shipping safety vision, an agentic feature, a VFX pipeline, or a research model, the single highest-leverage choice is defining "good" before you train.Thu, 08 May 2025 00:00:00 GMTWhy per-module accuracy SLA is the only honest way to sell AI safetyhttps://dev.paperstox.in/insights/why-per-module-accuracy-sla/https://dev.paperstox.in/insights/why-per-module-accuracy-sla/A single "99% accurate" headline is a marketing artefact. Real safety deployments have to be measured per module, per site, monthly — and the contract has to mean it.Sat, 12 Apr 2025 00:00:00 GMT