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Step 1: Create Your Project (30 seconds)

  • Click New Project from your dashboard
  • Give it a descriptive name (e.g., “Product Catalog Cleanup”)
  • Choose a template for common use cases, or start with a blank project

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Step 2: Add Your Data (1-2 minutes)

Choose the method that fits your data:

  • Paste a list → Copy/paste from spreadsheets or web pages
  • Upload CSV/XML → Import structured files (up to 1,000 rows)
  • Geolocation Search → Find businesses, stores, or POIs around an address
  • Manual entry → Type directly into the table

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Step 3: Create an AI Task (2 minutes)

  • Click Add Column and select an AI tool
  • Write a simple prompt using @column_name to reference other data
  • Example: “Based on @product_name, write a 50-word marketing description”
  • Choose your preferred AI model and output format

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Step 4: Run and Review (1-2 minutes)

  • Click Enrich to process all rows (credits vary by model)
  • Check the confidence badges: 🟢 High (85+) 🟡 Medium (60-84) 🔴 Low (60-0)
  • Click on citations to see sources and verify accuracy
  • Re-run individual low-confidence rows with refined prompts

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Step 5: Export Your Results (30 seconds)

  • Download as CSV/Excel for immediate use
  • Use the API to integrate with your systems
  • Set up automations to keep data fresh

💡 Pro Tips:

  • Start with 10-20 sample rows to test your approach
  • Use specific, concise prompts for best results
  • Free tier includes 400 credits total (200 + 200 feedback bonus)