How to Build Reliable Long-Running AI Agents | Arize x Temporal
Source title: How to Build Reliable Long-Running AI Agents | Arize x Temporal. Source description: What happens when an AI agent runs for hours, calls multiple tools and models, waits on users, and then something fails halfway through? In this joint webinar from Temporal and Arize, Nancy from Arize and Cecil from Temporal show how to build long-running AI agents that can survive failures while still giving engineering teams the visibility they need to understand, evaluate, and improve agent beha
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Source title: How to Build Reliable Long-Running AI Agents | Arize x Temporal. Source description: What happens when an AI agent runs for hours, calls multiple tools and models, waits on users, and then something fails halfway through? In this joint webinar from Temporal and Arize, Nancy from Arize and Cecil from Temporal show how to build long-running AI agents that can survive failures while still giving engineering teams the visibility they need to understand, evaluate, and improve agent beha
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The title and description alone do not establish the agent autonomy level.
Agents In Use pipeline: video selected by TypeSafe Jev using source title/description only; recording and outcomes not independently verified.
Credit: Arize AI
Source published 22 Sept 2026
Source checked 14 Oct 2026
Tools and topics
AI agent
video · agent-demo
Editorial completeness: 75/100. Measures documented fields, not agent performance or verified outcomes.
Video notes
Arize AI · YouTube
- Source title: How to Build Reliable Long-Running AI Agents | Arize x Temporal