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Evidence brief

Agent workflows: LangChain explains what an AI agent is.

AI agents are systems that run autonomously in a large language model loop, completing complex tasks by repeatedly calling the model, observing results, and adjusting the next action. A workflow is a prearranged set of fixed steps. The two complement each other: workflows provide determinism, while agents provide flexibility. Understanding the difference is key to building reliable, production-ready autonomous systems.

Published
Updated
Editorial
Frontline Lab
Source
LangChain：Blog（RSS）
Source author
LangChain：Blog（RSS）
Related topics
1
Collected
2026-08-13

Frontline Lab summary and source

Editorial summary

AI agents are systems that run autonomously in a large language model loop, completing complex tasks by repeatedly calling the model, observing results, and adjusting the next action. A workflow is a prearranged set of fixed steps. The two complement each other: workflows provide determinism, while agents provide flexibility. Understanding the difference is key to building reliable, production-ready autonomous systems.

This brief preserves the original source so the summary and editorial context can be checked independently.

Source attributionLangChain：Blog（RSS） · LangChain：Blog（RSS）

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Related published evidence

Relationships are derived from shared topics, entities, categories, tags, and community context; every result remains independently source-linked.

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Original source
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Original source
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Original source