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LangChain shares its paid media agent workflow

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1. LangChain shares its paid media agent workflow

LangChain has published how its paid media agent works and linked the open source project. The agent combines advertising data with warehouse results and brings proposed campaign changes into Slack for review.

Proof: Use models for judgment and code for consistency.

Impact: Teams can inspect that workflow without copying every tool or loading an entire company wiki into each prompt. This is a company case study. Its reported savings are not a promise for another business, and the workflow still needs connected data, account permissions and approval for campaign changes.

Watch next: Review the LangChain repository permissions and verify the data sources and the result of every approved change before expanding access.

Canonical host: www.langchain.com

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