Quick Start

This guide walks through a typical BlazeXL workflow: analyze data, save the logic, and reuse it in the interfaces your team already uses.

1. Start with the AI Analyst

The fastest way to try BlazeXL is in the web dashboard.

1. Open the dashboard: Go to Dashboard.
2. Add data: Upload a CSV, JSON, or Excel file, or paste a table directly.
3. Ask for analysis: Prompt the AI Analyst to create the analysis you need.
4. Review the result: BlazeXL runs the generated logic in cloud execution and returns the result with the underlying code available for inspection.

2. Use the same logic in Excel

BlazeXL can also expose approved logic inside spreadsheets.

1. Install the add-in: Download your manifest from the docs install page.
2. Connect your account: Open the BlazeXL tab in Excel and sign in with your access token.
3. Run approved logic: Use published Blaze Blocks directly in your workbook.

3. Save logic for reuse

Once you are happy with the result, save the logic so it can be reused across your team.

Step A: Create a Blaze Block

Use the Playground or AI Analyst to draft and verify Python logic, then save it as a Blaze Block. Blocks are versioned so the same reviewed logic can be reused consistently.

Step B: Build a Blaze App

Wrap that logic in a visual interface with Blaze Apps so users can work with inputs and outputs without editing code.

Step C: Bring it into Excel

Use the same logic from a workbook through Blaze Sheets, so spreadsheet users work against the same approved version.

Operational controls

• Isolation: Runs happen in an isolated cloud environment.
• Audit records: Executions and saved logic versions are recorded for review.
• Reuse across interfaces: The same block can be used in apps, spreadsheets, and web workflows.

Next steps

• Learn about Blaze Blocks
• Learn about governance
• Learn about data ingestion