> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.ovalbee.com/concepts/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.ovalbee.com/_mcp/server.

# Concepts

## Docs

- [Flows](https://docs.ovalbee.com/concepts/flows.md): A graph of nodes that describes — and runs — how work moves through your team.
- [Nodes](https://docs.ovalbee.com/concepts/nodes.md): One step of a flow — what it reads, what it does, what it leaves behind.
- [Edges](https://docs.ovalbee.com/concepts/edges.md): An edge decides when a node runs. It never carries data.
- [References](https://docs.ovalbee.com/concepts/references.md): A reference decides what a node works on. It never triggers a run.
- [Runs and automation](https://docs.ovalbee.com/concepts/runs.md): When nodes run, what happens after, and where to look when something fails.
- [Datasets and versions](https://docs.ovalbee.com/concepts/datasets.md): Named, versioned sets of images, videos and their annotations.
- [Assets and annotations](https://docs.ovalbee.com/concepts/assets.md): The files behind every dataset, model and report.
- [Ontologies](https://docs.ovalbee.com/concepts/ontologies.md): Versioned class and tag vocabularies that datasets and models agree on.
- [Labeling](https://docs.ovalbee.com/concepts/labeling.md): Run your labeling team inside the flow — work is handed out for you, and every image's state is visible on the canvas.
- [Labeling statistics](https://docs.ovalbee.com/concepts/labeling-statistics.md): Follow your labeling project on one page — how fast work moves, how much is left, and how each person is doing.
- [Models and deployments](https://docs.ovalbee.com/concepts/models.md): A registry of every model you trained or added, with its metrics, classes and lineage — and a way to serve it.
- [Reports](https://docs.ovalbee.com/concepts/reports.md): Documents that nodes build from their results — conclusion first, evidence underneath.