Your incident response wasn’t built for AI

LeadDev.com reports that traditional incident response fails for AI systems because they return fluent, confident outputs with a 200 OK even when wrong, and identical inputs can produce different outputs due to GPU batching. The article recommends splitting SLOs into three tiers—service, behavioral (capped by the model), and containment—the only tier a team can actually own.

August 19, 2026 Key takeaways: - AI systems fail differently: fluent, confident outputs return a 200 OK even when wrong, and identical inputs can produce different outputs due to GPU batching. Nobody owns the quality floor . Product picks the model, platform carries the pager, and neither controls the failure rate.- Split SLOs into three tiers: service , behavioral capped by the model , and containment , the only tier a team can actually own. Incident response https://leaddev.com/technical-direction/incident-response-before-the-incident assumes three things: that a failure can be reproduced, that it announces itself as an error, and that the person paged has a lever that changes the outcome. Join LeadDev.com for free to access this content August 19, 2026