--- title: How we built LangChain’s GTM Agent | daily.dev description: LangChain's team built a GTM agent that automates outbound sales research and email drafting using their own Deep Agents framework. The agent triggers on new... canonical: https://daily.dev/posts/how-we-built-langchain-s-gtm-agent-czbsfp6yk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How we built LangChain’s GTM Agent | daily.dev og:description: LangChain's team built a GTM agent that automates outbound sales research and email drafting using their own Deep Agents framework. The agent triggers on new... og:url: https://daily.dev/posts/how-we-built-langchain-s-gtm-agent-czbsfp6yk og:image: https://api.daily.dev/og/posts/czBSfp6yk.png og:image:alt: How we built LangChain’s GTM Agent og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How we built LangChain’s GTM Agent **[LangChain](https://daily.dev/sources/langchain)** · 11 min read · 0 upvotes · 0 comments ## Summary LangChain's team built a GTM agent that automates outbound sales research and email drafting using their own Deep Agents framework. The agent triggers on new Salesforce leads, checks contact history, gathers context from Gong, LinkedIn, and the web, then sends a Slack draft for rep approval. Key results include a 250% increase in lead-to-qualified-opportunity conversion, 40 hours saved per rep per month, and 97% more follow-up on lower-intent leads. The system uses subagent delegation for parallel account intelligence, a PostgreSQL-backed memory loop that learns from rep edits, and LangSmith for observability and CI-based evaluations. The agent also organically spread beyond sales to engineering and customer success teams due to its broad data access. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [How we built LangChain’s GTM Agent](https://daily.dev/posts/how-we-built-langchain-s-gtm-agent-suytaaaqs) · LangChain · 1 upvotes · 0 comments - [How Apollo Uses Deep Agents and LangSmith for GTM AI](https://daily.dev/posts/how-apollo-uses-deep-agents-and-langsmith-for-gtm-ai-2nzctoe3y) · LangChain · 1 upvotes · 0 comments - [How Agentforce Lead Nurturing Agents Generated $100M\+ Pipeline](https://daily.dev/posts/how-agentforce-lead-nurturing-agents-generated-100m-pipeline-slcgsquqk) · Salesforce Engineering · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#langsmith](https://daily.dev/tags/langsmith) [View this post on daily.dev](https://daily.dev/posts/how-we-built-langchain-s-gtm-agent-czbsfp6yk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How we built LangChain’s GTM Agent","url":"https://daily.dev/posts/how-we-built-langchain-s-gtm-agent-czbsfp6yk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-we-built-langchain-s-gtm-agent-czbsfp6yk"},"datePublished":"2026-07-08T19:23:03.218Z","dateModified":"2026-07-08T19:24:36.994Z","description":"LangChain's team built a GTM agent that automates outbound sales research and email drafting using their own Deep Agents framework. 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