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Culsma PAWS

Import Samples

Use this chapter to add multiple samples from a structured file.

This is a write workflow. Your Culsma PAWS connection must include lab.write, and you must be allowed to add samples to the active workspace.

Prepare the file

Section titled “Prepare the file”
  • Use a CSV or Excel workbook with one header row and one sample per row.
  • Keep dates, identifiers, and categorical values consistent within each column.
  • Include enough project and subject information to resolve existing records.
  • Remove hidden notes, formulas, or unrelated sheets that should not be imported.
  • Keep an unchanged copy of the source file.

Workflow

Section titled “Workflow”
  1. Prepare the CSV or Excel file.
  2. Attach the file and describe the intended import.
  3. Review detected columns and validation results.
  4. Resolve projects, subjects, tags, and other references.
  5. Correct invalid or incomplete rows.
  6. Review and approve the import.
  7. Check the import receipt and created samples.

You can begin with a request such as:

Import the attached sample workbook into Culsma PAWS. Validate every row, resolve existing projects, subjects, and tags, and show me a complete preview before creating anything.

The preview should preserve the original row numbers and separate ready rows from invalid or unresolved rows. Correct the source file or answer the AI agent’s questions, then request a new preview.

After approval

Section titled “After approval”

Review the import receipt. It should connect each source row to its created sample or explain why the row was not imported. Check several created samples in the web or app interface before treating the import as complete.