If you are building video AI agents and getting stuck, our engineers answer build questions in our community

I am from the VideoDB team. VideoDB is data infrastructure for video: ingest footage, index it, search it, run models on it, build agents on top of it.

One thing that slows people down building video agents is the unglamorous infrastructure side: extraction, sampling, structured output, running models reliably on footage at scale.

The engineers who built VideoDB are active in our builder community and answer real build questions. Not canned responses - they get into the actual problem with you.

We also share how we actually evaluate and build this stuff: what configuration decisions matter, how to build eval sets from real failure cases, what breaks and why.

Link is in the first comment per sub rules. What part of building video agents has tripped you up most?