Diving into the AI iceberg: What lies beneath your AI agents

What this post added

This post details how Temporal orchestrates a multi-agent AI research workflow, highlighting its role in coordination, human-in-the-loop interactions, parallel execution of search activities, automatic retries for transient failures, and ensuring durable execution for long-running processes. It provides a simplified code example of the workflow structure and emphasizes the value of Temporal in making such complex AI applications resilient and observable.