LangChain Launches Fall AMA Series for LangSmith
The sessions focus on concrete agent evaluation techniques — tuned evaluators and trajectory-based assessment — that most teams building production agents have not yet standardised. Practitioners evaluating LLM applications can attend the AMAs directly and apply the walkthroughs to their own LangSmith workflows. The 21 October session on deep agents with managed infrastructure signals how LangChain is packaging deployment, not just observability.
LangChain announced a fall AMA series covering LangSmith capabilities, starting 30 September 2026.
Sessions include 'Improving Agents w/ Tuned Evaluators' on 30 September, 'Evaluate Agent Behavior w/ Trajectories' on 7 October, and 'Build and Deploy Deep Agents w/ Managed Infrastructure' on 21 October.
Registration details are available at events.langchain.
com.
Join our fall AMA series for practical walkthroughs of the latest LangSmith capabilities: 📍 9/30 - Improving Agents w/ Tuned Evaluators 📍10/7 - Evaluate Agent Behavior w/ Trajectories 📍10/21 - Build and Deploy Deep Agents w/ Managed Infrastructu events.langchain.com/fall-product-s… izV📊 2 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LangSmith, LangChain, agents, evaluation.
Source attribution: curated from LangChain (@LangChainAI).
