Source details
- Original source
- Harrison Chase
- Published
- 2026-07-09
- Primary topic
- AI Agents
Why it matters
Agent products, browser agents, autonomous workflows, operator systems, and orchestration tools. This item originated as a short-form social post, so the context blocks below help expand it into tools, models, and evaluation guides.
What happened
this is going to be a fun one! clay is one of the most ai-forward thinking companies i know of lots to learn here if you're in NYC LangChain (@LangChain) Join us for a LangChain + Clay meetup with @palashshah , @jeffbarg , Vyshu Khota, and Soroush Khadem. luma.com/jqif2hti Palash will break down how he built a self-improving agent at LangChain, LangSmith Engine. He'll dive into how the agent turns production traces into durable memory updates that continuously improve an agent's behavior. Then, the Clay team will give us a peek into how they built out their agentic eval harness, and more. Interested in attending? RSVP while spaces last. — https://nitter.net/LangChain/status/2075249135532327080#m
What to do next
Move into automation and workflow tools next so you can evaluate whether the agent story is actionable or still mostly experimental.
this is going to be a fun one! clay is one of the most ai-forward thinking companies i know of lots to learn here if you're in NYC LangChain (@LangChain) Join us for a LangChain + Clay meetup with @palashshah , @jeffbarg , Vyshu Khota, and Soroush Khadem. luma.com/jqif2hti Palash will break down how he built a self-improving agent at LangChain, LangSmith Engine. He'll dive into how the agent turns production traces into durable memory updates that continuously improve an agent's behavior. Then, the Clay team will give us a peek into how they built out their agentic eval harness, and more. Interested in attending? RSVP while spaces last. — https://nitter.net/LangChain/status/2075249135532327080#m
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