1
Upload a CSV, Excel workbook, document, or connect a supported data source, then begin with a concrete analytical question. Ask Julius to show the calculation or visualization needed to support the answer, and follow up when a result needs a different grouping, filter, or interpretation. Inspect generated charts and computed values against the source data before sharing them. When the analysis is stable, turn the findings into a report, presentation, or export. Avoid uploading confidential datasets unless your organization's data-handling requirements are satisfied by the selected plan.
2
For a first evaluation, keep the scope small enough that you can compare the AI-assisted result with a known baseline. Record the configuration, model or workflow choices that produced the result so successful tests can be reproduced. If the product connects to external systems or private data, grant the minimum permissions required and review the provider's current security and data-handling documentation before expanding access.