A step-by-step tutorial on building an AI deep research agent using Python and the OpenAI API, then making it fault-tolerant and observable by integrating Temporal as the workflow orchestration layer. The agent architecture includes multiple specialized sub-agents: triage, clarification, planning, search, and writer agents. Adding Temporal provides full observability into every workflow step and ensures the agent survives crashes or failures.

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