Column Inputs Configuration
Fine-Grained Control for Context and Accurate Outputs
What Are Column Inputs?
Column Inputs are a powerful configuration option that allows you to select other columns in your table as inputs for the column you’re creating or modifying. By providing relevant context through inputs, you ensure that the AI has the necessary information to generate accurate and meaningful outputs.
This feature is critical for tasks that rely on relationships between data points, enabling you to chain columns together for enhanced accuracy and optimization.
Why Are Inputs Important?
Context Matters: Inputs provide the context that columns need to generate precise outputs.
Chaining for Complexity: Use inputs to chain columns together, enabling advanced workflows where each column builds upon data from others.
Better Outputs: The more context you provide via inputs, the higher the quality and accuracy of the AI’s results.
How to Configure Column Inputs
Navigate to Column Settings:
Open the configuration settings for the column you’re creating or modifying.Select Inputs:
In the Inputs field, you’ll see a list of all other columns in your table.
Select the columns that you want to use as inputs.
Multiple inputs can be selected if your column requires data from more than one source.
Save and Test:
Save your settings and test the column to ensure the inputs are being used correctly.
Example: Finding an Email Address
Let’s say you’re building a table to find the email addresses of individuals at specific companies. Here’s how to set it up:
Create Columns for Input Data:
Name: The person’s name.
Company Domain: The company’s domain (e.g.,
@example.com).Email Address: The column where you’ll generate the email.
Configure the Email Address Column:
Open the configuration settings for the Email Address column.
In the Inputs field, select both the Name and Company Domain columns.
Use the Data Enrichment tool in this column to retrieve the email address.
Why This Works:
The AI uses the name to identify the person and the company domain to pinpoint the organization.
Without the company domain, the AI may produce inaccurate results, especially if multiple people share the same name.
Key Benefits & Best Practices
Benefits
Improved Accuracy: Inputs provide essential context, improving the reliability of outputs for tasks like finding emails or generating summaries.
Custom Workflows: Chain data across columns to create workflows tailored to your needs.
Efficiency: Properly configured inputs save time by reducing errors and rework.
Best Practices
Include Relevant Context: Add all columns that are critical for the output (e.g., for finding an email, include both the person’s name and company domain).
Test First: Always test your column on a few rows before applying it to larger datasets. Use test mode to save on credits while testing!
Write Clear Prompts: Ensure your prompts match the selected inputs. For example:
“Retrieve the work email for [Name] at [Company Domain].”
Be Selective with Inputs: Only include columns that meaningfully contribute to the task to avoid unnecessary complexity.
Common Questions About Inputs
What happens if I don’t select inputs for a column?
The column will still function, but its output may lack the context needed for accuracy.
Can I select inputs from multiple columns?
Yes, you can select as many inputs as needed to provide the column with sufficient context.
Do inputs consume additional credits?
No, inputs themselves don’t consume extra credits. They simply provide context for the column’s AI task.