Learn how LangChain and Box help developers build AI agents users can actually follow and trust. In this webinar, Christian Bromann from LangChain and Andrew Wong from Box walk through two live demos showing how to build transparent, grounded agent experiences over enterprise content. You’ll see: * How LangChain Deep Agents and LangGraph power multi-step agent workflows * How streaming makes tool calls, progress updates, and intermediate steps visible to users * How Box provides trusted enterprise content, permissions, AI extraction, metadata, and governance * How to build agents that cite their sources instead of just saying “the model said so” * How human-in-the-loop approval lets agents pause before taking action, then resume reliably Demos include an Enterprise Knowledge Assistant built with LangChain and Box, plus a Contract Review & Approval agent that extracts contract terms, scores risk deterministically, writes metadata back to Box, and waits for human approval before committing actions. Resources: - LangChain + Box Deep Agents post: https://www.langchain.com/blog/building-box-ai-how-an-enterprise-content-platform-went-ai-native-with-deep-agents - Box LangGraph architecture post: https://blog.box.com/how-box-built-its-ai-agent-langgraph - Christian’s demo repo: https://github.com/christian-bromann/box-demo - Andrew’s demo repo: https://github.com/box-community/contract-review-agent

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