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The AI Block integrates language models (LLMs) into your workflow, allowing you to generate AI-powered outputs based on prompts and store the generated content for later use.

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Inputs

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☐ Model Selection (Required)

Choose which LLM to use for generating responses:

Available Models

Options:    ☐ GPT-4o mini (fastest, most economical)    ☐ GPT-4o (balanced performance)    ☐ Claude 3.5 Sonnet (highest accuracy)

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☐ AI Prompt (Required)

Enter the text prompt for the AI to process.
Prompt Best Practices:
  • Be clear and specific
  • Include examples or constraints
  • Provide necessary context

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☐ Output Options (Required)

Choose where to store the AI-generated response:

Storage Options

Options:    ☐ Assign to Variable (store in new variable)    ☐ Insert to Table (update existing table)Note: You can select both options to store results in multiple locations

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Use Cases

  • Content Generation → Create blog summaries, descriptions, or emails
  • Data Transformation → Convert messy text into structured formats
  • Decision Making → Generate AI-driven suggestions based on input
  • Automated Insights → Extract insights from customer queries or documents

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Usage Examples

1. Customer Support Replies

ModelGPT-4o
PromptGenerate a polite response for a refund policy inquiry
Outputcustomer_reply
Generate automated customer support responses

2. Review Summarization

ModelClaude 3.5 Sonnet
PromptSummarize these reviews in 2 sentences
TableReviews.Summary
Automatically summarize product reviews

3. Sales Pitch Generation

ModelGPT-4o mini
PromptCreate a sales pitch for for
Outputsales_pitch
Generate personalized sales pitches

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Notes

  • Use clear, structured prompts
  • Choose appropriate model for task
  • Consider cost and performance tradeoffs
  • Test outputs before automation