Create AI Agent Fields for Automated Data Analysis in Softr AI Co-Builder | Alpha | PandaiTech

Create AI Agent Fields for Automated Data Analysis in Softr AI Co-Builder

Save time by avoiding manual AI model parameter setups. Watch how the AI Co-Builder generates AI Agent fields that automatically process data from other columns to produce summaries instantly.

Learning Timeline
Key Insights

Benefits of Using AI Co-Builder

Even if you know how to set up an AI agent manually, starting the process with AI Co-Builder is much faster. It provides a strong baseline for the prompt and model, which you can then edit to meet your specific needs.

Data Accuracy Tips

Ensure you list all reference field names accurately in the prompt so that the AI Co-Builder can correctly map the data for the summarization process.
Prompts

AI Summary Field Generation Instructions

Target: Softr AI Co-Builder
In the topics table, add an AI field called summary that reads the description, why training, and source summaries fields and generates a single sentence summary of the topic.
Step by Step

How to Generate AI Agent Fields Using Softr AI Co-Builder

  1. Open the Softr AI Co-Builder interface within your project dashboard.
  2. Identify the existing tables and fields that you want the AI to process.
  3. Type specific instructions in the AI Co-Builder prompt box, specifying the name of the new field to be created and the data sources it needs to reference.
  4. Wait a few seconds for the AI Co-Builder to automatically generate the AI Agent field configuration.
  5. Review the generated parameters, such as the system prompt, the selected AI model, and the run conditions.
  6. Click on any existing row of data to run the AI field and ensure the output meets your requirements.
  7. Perform manual edits on the prompt or model settings if the summary results need further refinement.
  8. Click the 'Save' button to save the new field to your database.

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