The hero’s journey to AI durability with Temporal

This post details how to apply Temporal's Durable Execution to AI features to improve reliability. It explains how to prevent duplicate model calls by executing them as Activities within Workflows, manage human-in-the-loop feedback using Signals and Queries, and make AI agent tools more robust by wrapping them in Activities. It also highlights the importance of using Workflow timers for durable waits and contrasts them with standard `asyncio.sleep` calls. The post references a Learn tutorial for a practical walkthrough of building durable AI applications and MCP tools.