Uploaded April 2026 | Updated September 2026, 3 days ago
Code is only as good as its durability. In this episode from the WorkOS booth at HumanX 2026, Michael Grinich (CEO & Founder of WorkOS) sits down with Maxim Fateev, CTO and Co-Founder of Temporal Technologies, to explore the invisible infrastructure that makes enterprise AI reliable.
Maxim dives into the unique challenges of building autonomous agents that might need to run for days, weeks, or even years without crashing. They discuss why traditional request-response protocols weren't designed for long-running AI workflows, and how Temporal provides the "Durable Execution" layer that ensures AI agents can survive infrastructure failures, machine migrations, and multi-day approval cycles without losing state.
Key Topics Covered:
• What is Temporal? The open-source project solving distributed systems complexity.
• Why AI agents are essentially "dynamic workflows" that need persistence.
• The "Durable Execution" difference: Ensuring your code never crashes and state is always preserved.
• Why Temporal is the perfect target platform for LLM-generated code.
• The evolution of workflow services: From Amazon to Uber to Temporal.
Learn more about WorkOS: workos.com Build durable apps with Temporal: temporal.io
Code is only as good as its durability. In this episode from the WorkOS booth at HumanX 2026, Michael Grinich (CEO & Founder of WorkOS) sits down with Maxim Fateev, CTO and Co-Founder of Temporal Technologies, to explore the invisible infrastructure that makes enterprise AI reliable.
Maxim dives into the unique challenges of building autonomous agents that might need to run for days, weeks, or even years without crashing. They discuss why traditional request-response protocols weren't designed for long-running AI workflows, and how Temporal provides the "Durable Execution" layer that ensures AI agents can survive infrastructure failures, machine migrations, and multi-day approval cycles without losing state.
Key Topics Covered:
• What is Temporal? The open-source project solving distributed systems complexity.
• Why AI agents are essentially "dynamic workflows" that need persistence.
• The "Durable Execution" difference: Ensuring your code never crashes and state is always preserved.
• Why Temporal is the perfect target platform for LLM-generated code.
• The evolution of workflow services: From Amazon to Uber to Temporal.
Learn more about WorkOS: workos.com Build durable apps with Temporal: temporal.io
