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Agent Limitations

Understanding the AI agent’s capabilities and limitations helps you use it most effectively and set appropriate expectations for analysis results.

  • Exploratory data visualization
  • Pattern recognition through charts
  • Automatic chart type selection
  • Natural language interpretation of visual patterns
  • Business context interpretation
  • Strategic decision making
  • Domain-specific knowledge application
  • Final recommendations and actions
  • Works with uploaded datasets only
  • Requires sufficient data volume for statistical analysis
  • Limited to supported data types and formats
  • Cannot access external data sources mid-conversation
  • More data generally improves analysis quality
  • Small datasets may limit statistical confidence
  • Analysis quality varies by data type and complexity
  • Missing data reduces analysis reliability
  • Outliers can skew results if not handled
  • Inconsistent data formats may cause errors
  • Small sample sizes limit statistical confidence
  • Cannot establish causation, only correlation
  • Requires appropriate sample sizes for significance
  • Limited by data quality and completeness
  • May struggle with highly sparse data
  • Lacks industry-specific context
  • Cannot incorporate external factors not in data
  • May miss business logic constraints
  • Requires human validation of business relevance

Best Practices

Learn how to work within these limitations effectively and get the best results.

Chat Management

Understand how to organize conversations and manage multiple analysis threads.