When should I switch to manual editing?
Target Audience: Non technical users
TL;DR
Transition from the AI assistant to manual editing for granular control over chart configuration, complex logic, and visual styling.
When to use this
Use this page to determine when the AI assistant has reached its functional limit and manual intervention is required to finalize an analytics component.
Scenarios for Manual Editing
Manual editing is required when a visualization or dashboard needs specific adjustments that fall outside the scope of natural language prompting.
1. Visual Refinement
Granular Formatting: Adjust specific chart properties, such as precise axis scaling, unit formatting, or color palettes.
Layout Control: Modify the positioning and sizing of components within a dashboard to achieve a specific visual hierarchy.
Chart Type Selection: Manually override the AI assistant's choice to select a more specific visualization subtype.
2. Complex Business Logic
Custom Calculations: Define complex metrics or data transformations that require specific SQL-like logic or multi-step processing.
Advanced Filtering: Apply intersecting or conditional filters that are not easily captured in a single text prompt.
3. Operational Constraints
Editing Existing Assets: The AI assistant cannot modify the configuration of a chart once it is saved to a dashboard; these changes must be performed in manual mode.
Security & Compliance: Manually audit and document data steps to ensure alignment with organizational data governance standards.
Workflow Recommendation: The Hybrid Approach
Toucan.ai supports a non-destructive transition between creation modes.
Initiate with AI: Use the AI assistant to generate a functional draft of a chart or dashboard.
Refine Manually: Toggle to Manual Edit mode to apply final styling, logic, and branding.
Constraint: Switching from manual mode back to the AI assistant may result in the loss of certain manual formatting overrides if a new prompt significantly alters the underlying data query.
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