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Add AI features to Glide apps using AI columns like Generate Text, Image to Text, Audio to Text.Use when adding AI-powered functionality, text generation, OCR, transcription, or auto-categorization.

⭐1stars🔀0forks📁View on GitHub🕐Updated Jan 2, 2026

When & Why to Use This Skill

This Claude skill enables the seamless integration of Glide AI features into no-code applications. It empowers users to implement advanced AI capabilities—such as automated text generation, image-to-text OCR, audio transcription, and intelligent data categorization—directly within their Glide data columns. By automating manual data entry and providing instant content insights, this skill significantly enhances the functionality and efficiency of custom business apps without requiring complex coding.

Use Cases

  • Automated Receipt & Document Processing: Use Image-to-Text and Text-to-JSON columns to extract and structure data from uploaded receipts or PDFs for automated expense tracking and data entry.
  • Instant Detail Screen Summarization: Create AI-generated summaries at the top of complex task or project screens to provide users with immediate context and key highlights.
  • Smart Ticket Triage & Categorization: Automatically classify incoming support tickets, feedback, or leads into predefined categories using the Text-to-Choice column based on content analysis.
  • AI-Powered Content Generation: Transform minimal input keywords into rich, professional product descriptions or marketing copy using the Generate Text column.
  • Sentiment & Feedback Analysis: Utilize Text-to-Boolean or Text-to-Choice columns to detect customer sentiment in reviews or survey responses, enabling automated priority assignment.
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Glide AI

Glide has powerful AI columns that run inference on your data. These can add significant value to apps with minimal effort.

AI Column Types

Column Input Output Use Case
Generate Text Text/template AI-generated text Summaries, descriptions, recommendations
Image to Text Image URL Extracted text Receipt scanning, document OCR, product analysis
Document to Text Document URL Extracted/summarized text PDF parsing, document processing
Audio to Text Audio URL Transcription Voice notes, meeting recordings
Text to Boolean Text true/false Sentiment analysis, spam detection
Text to Choice Text + options Selected option Auto-categorization, priority assignment
Text to JSON Text Structured JSON Entity extraction, form parsing

AI Techniques

Detail Screen Summary with Hint Component

A powerful pattern: show an AI-generated summary at the top of detail screens.

How it works:

  1. Aggregate data - Create a Template column or JSON Object column that combines relevant fields
    • Template: Name: {Name}, Status: {Status}, Due: {Due Date}, Notes: {Notes}
    • Or use JSON Object to structure the data
  2. Generate summary - Create a Generate Text column that takes the aggregated data
    • Prompt: "Summarize this task in 1-2 sentences, highlighting priority and next steps"
  3. Display with Hint - Add a Hint component at the top of the detail screen
    • Bind it to the Generate Text column
    • Users see an instant AI summary of the item

Example prompts:

  • Task: "Summarize this task, noting urgency and blockers"
  • Customer: "Provide a brief profile of this customer based on their activity"
  • Order: "Summarize this order status and any issues"
  • Project: "Give a quick health check of this project"

This gives users instant context without reading through all fields.

Auto-Categorization with Text to Choice

Automatically categorize items as they're added:

  1. Create a Text to Choice column
  2. Define the categories (e.g., "Bug", "Feature", "Question", "Other")
  3. Point it at the text field to analyze (e.g., ticket description)
  4. New items get auto-categorized

Great for:

  • Support tickets → category
  • Feedback → sentiment (Positive, Negative, Neutral)
  • Expenses → expense type
  • Leads → qualification level

Smart Descriptions from Basic Info

Generate rich descriptions from minimal input:

  1. User enters basic info (name, a few keywords)
  2. Template column combines the inputs
  3. Generate Text creates a full description

Example for products:

  • Input: "Blue widget, small, outdoor use"
  • Generate Text prompt: "Write a compelling 2-sentence product description"
  • Output: "Introducing our compact Blue Widget, perfectly sized for any outdoor adventure. Built to withstand the elements while delivering reliable performance wherever you go."

Receipt/Document Scanning

Extract structured data from images:

  1. User uploads a receipt photo
  2. Image to Text extracts the content
  3. Text to JSON parses into structured fields (vendor, amount, date)
  4. Display parsed data in the UI

Works for:

  • Receipts → expense tracking
  • Business cards → contact creation
  • Documents → data entry
  • Product photos → inventory details

Sentiment Analysis

Detect sentiment in text:

  1. Create a Text to Boolean column
  2. Prompt: "Is this feedback positive?"
  3. Use result to show 😊 or 😞 emoji via If-Then-Else
  4. Or use Text to Choice for Positive/Neutral/Negative

Apply to:

  • Customer feedback
  • Support ticket tone
  • Review analysis
  • Survey responses

Best Practices

  • Aggregate before generating - Combine relevant data into one input for better AI results
  • Be specific in prompts - Tell the AI exactly what format and length you want
  • Use for summaries - AI excels at condensing information
  • Cache results - AI columns compute once and store the result
  • Consider cost - AI columns use Glide AI credits; use strategically

When to Add AI

Look for opportunities where:

  • Users need to quickly understand complex data
  • Manual categorization is tedious
  • Text input could be richer/more helpful
  • Images contain data that should be structured
  • Summaries would save users time