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Tutorial: Viewing and Exporting Results

Inspect a completed pipeline, download its outputs, and keep enough context to reuse the results in analysis or writing.

Before you start​

You need access to the project and a pipeline that has produced artifacts. If you have not run one yet, follow Running a Workflow.

Review the run​

  1. Open Analysis Pipelines and find the run for your dataset.
  2. Check its status, then select View output log.
  3. Review messages, warnings, and any error details.
  4. Open the run's artifacts and inspect the available files.
  5. Preview supported text content or select Download artifact.

Pipeline artifacts

The files depend on the blocks used. An image-processing run may produce PNG or JPEG files; a feature-extraction block may return measurements saved as an Excel workbook. Other serializable results are stored as JSON.

Keep the context​

Record the dataset, pipeline, block versions, and parameters with your downloaded files. Before comparing two tables, check units, plot labels, acquisition dates, and whether both runs used comparable methods.

Continue with the Agent or MCP​

Ask the agent to retrieve the run and explain a specific output:

Find the results from pipeline 12 and help me understand the plot measurements.

An MCP client can use list_artifacts and download_artifact. Downloaded files are stored on the MCP host, which may differ from your laptop. The browser's download action saves files through your browser.

Use the reviewed evidence for downstream analysis or drafting a research section.