Focused Labs
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Consultants who build agents that work
Our CEO Austin Vance says the biggest mistake with LangChain is starting with it in the first place. Start with LangGraph instead.
Here’s why that choice matters when you’re building agentic LLM apps.
Do you agree, or have you made a different mistake?
Explore how we build with LangChain: https://focused.io/langchain
07/28/2025
Prompt quality alone doesn’t cut it.
Our CEO Austin Vance shares how to build more intelligent, persistent LLM agents using LangGraph.
Check it out: https://focused.io/lab/customizing-memory-in-langgraph-agents-for-better-conversations
07/25/2025
Helping Hamlet turn public data into clear insights.
We built Speaker Search, an AI tool that makes it easy to find key quotes from city meetings.
90%+ accuracy. Live in 3 months.
See how we made it happen:
https://focused.io/case-studies/civic-intelligence-with-ai-transforming-public-data-into-actionable-insights
06/20/2025
About a month ago, we hosted a breakfast in SF to kick off LangChain’s Interrupt conference! We brought the Focused team out to connect with builders and teams working on real AI systems!
It was all about starting the day with practical conversations on what it actually takes to build agentic AI!
06/12/2025
Focused POV: If you’re building with AI, start with LangChain!
We’ve used LangChain since day one to build agentic systems that evolve fast and actually ship. It helps us swap models, add tools, and stay current without starting from scratch.
We used it to help Civic Roundtable turn complex data into real-time insights. Read the case study and learn more about our approach, link in bio!
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