What are your biggest data challenges when building with agents in LangChain?

[verodatai]

Hi all — I’m doing some research into how developers are working with data inside agent workflows (LangChain, CrewAI, AutoGPT, etc.), and I’d love to learn from your experiences.

If you’ve been building agents, a few things I’m curious about:

What kind of data are your agents typically working with (APIs, databases, files, etc.)?

Where have you run into challenges — schema issues, freshness, validation, or something else?

Have you found any workarounds or best practices when it comes to managing or feeding that data into agents?

This is part of some research we're doing at Verodat, focused on making data more agent-ready. We also put together a short (1-minute) survey to gather broader insights if you’re open to contributing:
👉 https://verodat.typeform.com/AgentSurvey

Happy to share results back here. Would love to hear how others are approaching this!