From AI hype to durable reality — why agentic flows need distributed-systems discipline

What this post added

This post details how to integrate Temporal with AI agentic flows and the Model Context Protocol (MCP). It demonstrates wrapping MCP tool invocations as Temporal Activities, leveraging Temporal's Durable Execution for resilience, automatic retries, timeouts, and state persistence. The post also discusses the application of polyglot workflows for cross-language AI orchestration, the role of Temporal Nexus in unifying AI and business workflows with end-to-end observability, and the use of Signals and Queries to maintain stateful conversations even through failures. It emphasizes how Temporal's features reduce boilerplate code and enhance developer velocity in building AI systems.