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.

Inputs

☐ 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)

☐ 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

☐ 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

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

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

Notes

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