# Temporal and the next frontier: Scaling AI reliably

DevFeed: [Temporal and the next frontier: Scaling AI reliably](<https://devfeed.tech/articles/temporal-and-the-next-frontier-scaling-ai-reliably-36005.md>)

Original publisher: [Read original article](<https://temporal.io/blog/temporal-and-the-next-frontier-scaling-ai-reliably>)

Author: Samar Abbas

Published: 2025-09-03T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [systems](<https://devfeed.tech/topics/systems.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [agentic workflows](<https://devfeed.tech/topics/agentic-workflows.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [Pydantic](<https://devfeed.tech/topics/pydantic.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [agentic-workflows](<https://devfeed.tech/tags/agentic-workflows.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [context-engineering](<https://devfeed.tech/tags/context-engineering.md>), [developer-community](<https://devfeed.tech/tags/developer-community.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [openai](<https://devfeed.tech/tags/openai.md>), [rag](<https://devfeed.tech/tags/rag.md>), [sdk](<https://devfeed.tech/tags/sdk.md>)

## AI overview

Temporal describes how its durable workflow infrastructure is being applied to production AI systems, including agentic workflows, multiple AI models, stateful processes, and integrations with OpenAI, MongoDB, and Pydantic.

## Source excerpt

At Temporal, we've always focused on one thing: making it simpler to build systems that work and keep working -- reliably at scale and in the messy reality of prod. That mission matters more today than ever.