AI tutorials
Learn how to build durable AI applications using Temporal. These tutorials show how to harden LLM-driven systems against the real-world failures that make them flaky - network blips, rate limits, long human-in-the-loop pauses, and crashes mid-run.
Building Durable AI Applications
Transform a simple LLM app into a resilient system that handles crashes, rate limits, and outages - then add durable human-in-the-loop capabilities.
Start the series Series · 2 partsBuilding Durable MCP Tools
Build a weather forecast MCP server for Claude Desktop with Temporal Workflows, then add durable human-in-the-loop to a long-running invoice tool.
Start the MCP series Series · 3 partsBuilding Deep Research Agents with the OpenAI Agents SDK
Build a durable, multi-agent deep research application with human-in-the-loop capabilities using Temporal and the OpenAI Agents SDK.
Start the deep research series Walkthrough · 4 chaptersHow to Build a Durable AI Agent with Temporal and Python
Build a durable AI agent from scratch with the Temporal Python SDK. Construct the toolkit, wire up the agent, build the Workflow, and run it end to end.
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