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Explore common use cases and get inspired for your own implementations.

Content & Marketing

Email Subject Line Generator

Generate compelling email subject lines from email content. Input Schema:
  • email_body (string, required)
  • tone (string: professional, casual, urgent)
  • count (integer, default: 5)
Prompt:

Blog Post Outliner

Create structured outlines for blog posts. Input Schema:
  • topic (string, required)
  • audience (string, required)
  • word_count_target (integer)
Prompt:

Customer Support

Ticket Classifier

Automatically categorize and prioritize support tickets. Input Schema:
  • ticket_subject (string, required)
  • ticket_body (string, required)
  • categories (array of strings)
Prompt:

Response Drafter

Draft customer support responses. Input Schema:
  • customer_message (string, required)
  • customer_name (string)
  • issue_type (string)
  • tone (string)
Prompt:

Data Processing

Entity Extractor

Extract structured data from unstructured text. Input Schema:
  • text (string, required)
  • entity_types (array: person, company, date, location, amount)
Prompt:

Document Summarizer

Summarize documents with configurable detail levels. Input Schema:
  • document (string, required)
  • format (string: bullets, paragraph, executive)
  • max_length (integer)
Prompt:

E-Commerce

Product Description Writer

Generate compelling product descriptions. Input Schema:
  • product_name (string, required)
  • features (array, required)
  • target_audience (string)
  • tone (string)
Prompt:

Review Analyzer

Analyze customer reviews for insights. Input Schema:
  • reviews (array of strings, required)
  • product_name (string)
Prompt:

Development Tools

Code Explainer

Explain code in plain language. Input Schema:
  • code (string, required)
  • language (string)
  • audience (string: beginner, intermediate, expert)
Prompt:

API Documentation Generator

Generate API documentation from code. Input Schema:
  • code (string, required)
  • framework (string)
Prompt:

Getting Started with These Use Cases

  1. Pick a use case that matches your needs
  2. Create an endpoint with the suggested input schema
  3. Copy the prompt and customize for your domain
  4. Test thoroughly with real-world examples
  5. Iterate based on results

Image & Vision

Product Image Generator

Generate marketing images from product descriptions. Input Schema:
  • product_name (string, required)
  • style (string: minimalist, lifestyle, studio)
  • background (string)
Model: gpt-image-1 Custom Parameters:
Prompt:
Output Schema:
  • generated_image (image)

Image Analyzer

Extract structured data from product photos. Input Schema:
  • photo (image, required)
  • categories (array of strings)
Model: GPT-4o (vision-capable) Prompt:
Output Schema:
  • description (string)
  • tags (array)
  • colors (array)
  • category (string)

Image Editor

Modify existing images based on text instructions. Input Schema:
  • reference_image (image, required)
  • edit_instructions (string, required)
Model: gpt-image-1 Prompt:
Output Schema:
  • edited_image (image)
When input images are provided with an image output field, Endprompt automatically routes to the provider’s editing API. See the Image Generation & Vision guide for details.

These examples are starting points. Customize the prompts, schemas, and models based on your specific requirements.

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