# Artifacts (/docs/guides/developer-workspace/pipelines/artifacts)



Artifacts are the outputs produced by pipeline steps: model files,
datasets, evaluation metrics, confusion matrices, and any other files or
values that a step writes and registers. BullSequana AI stores artifact
metadata so you can trace exactly which run produced a given output and
compare outputs across runs.

Browse artifacts [#browse-artifacts]

1. Select **Pipelines** in the left sidebar, then select the
   **Artifacts** tab.

The **Artifacts** list shows every artifact registered across all runs,
along with:

* **Name**: the artifact name as defined in the pipeline.
* **Type**: the artifact type (for example, `Model`, `Dataset`, or
  `Metrics`).
* **URI**: the storage location of the artifact.
* **Created**: when the artifact was registered.

View artifact details [#view-artifact-details]

Select an artifact in the list to open its detail page. The detail page
shows:

* **Properties**: metadata key-value pairs attached to the artifact.
* **Custom properties**: additional properties set by the pipeline step.
* **Linked executions**: the pipeline steps (executions) that produced or
  consumed this artifact.

Use the **Linked executions** section to trace an artifact back to the
specific run and step that created it.

Next steps [#next-steps]

* [Browse executions](executions) to see how artifacts flow between
  pipeline steps.
* [View run outputs](runs) to see artifacts in the context of a specific
  run.