Paul Bryant • 9/12/2026

AI Agent Stability: When Retries Become the Incident

This article explores AI agent stability, arguing that controlling the next intervention matters more than limiting model retries. It distinguishes transport retries from reconciliation and recovery, emphasizing action identity, execution state, budgets across restarts, observable effects over timers, and explicit ownership of operational decisions. Failed verification should trigger controlled recovery, not endless environment changes.

0 comments

#distributed systems #Reconciliation #AI Agents