Always-on agents run production without the on-call tax

Most production teams have the same problem. The work that keeps systems healthy- deployment checks, on-call handoffs, anomaly reviews- never makes it into a sprint. It falls to whoever has bandwidth, gets done inconsistently, and disappears when people are stretched thin. Background agents fix this by running that work on a schedule, using the same production context a senior engineer would, without waiting for someone to initiate it. Justin Smith, Founding Engineer at Resolve AI, walks through the architecture behind always-on agents, the use cases teams are starting with today, and what we have learned from running them in our production environment.