LangChain Open-Sources Paid Media Agent for Cross-Channel Ad Analysis in Slack

LangChain has published an engineering blog post detailing and open-sourcing its internal Paid Media Agent: a Deep Agent deployed in Slack for GTM (go-to-market) engineering.

Confirmed

• Every Monday, the Agent automatically reads spend, click, and conversion data from 6 ad platforms and the company data warehouse
• It explains to the team what changed and why, proposes campaign adjustments, and the team can discuss directly within Slack
• It supports cross-channel comparison of spend, conversions, and cost per lead, and automatically generates weekly performance reports
• The open-source version is built on LangChain's Managed Deep Agents and can be adapted by users

Why it matters

This is a complete, real-world case of Deep Agents in enterprise marketing, with a public implementation covering everything from data ingestion and analysis to Slack collaboration — a directly usable starting point for teams building similar ad analysis agents.

2026-09-17 ~ 2026-09-17 · 5 related posts

• [source] LangChain's Paid Media Agent lives in Slack and audits 6 ad platforms weekly — LangChain · 2026-09-17
• [source] LangChain's Engineering Breakdown: Building a Paid Media Deep Agent That Lives in Slack — LangChain · 2026-09-17
• LangChain open-sources Paid Media Agent that analyzes 6 ad platforms weekly in Slack — LangChain · 2026-09-17
• LangChain's Paid Media Agent: A Deep Agent in Slack for Ad Analytics — LangChain · 2026-09-17
• Open-source Paid Media Agent automates cross-channel ad analysis and reporting — hwchase17 · 2026-09-17