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Simple AI General Prompt Node

The Simple AI General Prompt node processes user prompts by providing input and instructions to a specified AI model, generating responses based on selected randomness settings such as 'More Creative,' 'More Balanced,' or 'More Precise.' This streamlined node simplifies AI-powered content generation by offering preset temperature configurations for common use cases.

Simple AI General Prompt node

Basic Usage​

Use the Text Input, Form Node, Create Text Label, Display Text, and Simple AI General Prompt for your process.

Inputs​

The Simple AI General Prompt node accepts the following inputs:

  • Input: The main user prompt or content to be processed by the AI model.
  • Instructions: Custom instructions that guide the AI's behavior and define how it should process the input.

Outputs​

  • Output: The AI-generated response based on the input and instructions provided.

Configuration​

Process Type​

Select the AI model to use for processing:

  • Mixtral 8x7B Instruct: Mistral AI's mixture-of-experts model for high-quality responses.
  • Gemini 2.5 Flash: Google's fast and efficient AI model for quick processing.
  • Gemini 2.5 Flash Lite: Google's lightweight and fast AI model for quick responses.
  • GPT-3.5: Efficient model for simpler tasks and general-purpose use.
  • Mistral Small: Compact model optimized for speed and efficiency.
  • Perplexity 70B Chat: Large-scale conversational model for complex dialogues.
  • o3-mini: Compact reasoning model for efficient problem-solving.
  • Gemini Pro (preview): Google's advanced AI model in preview mode.
  • Gemini 1.5 Pro: Google's advanced AI model with extended context capabilities.
  • GPT-5 Codex: Specialized model for code generation and programming tasks.
  • Gemini 2.5 Pro: Google's professional-grade AI model for advanced tasks.
  • Claude Sonnet 4.5: Anthropic's latest Sonnet model with enhanced capabilities.
  • Claude 3.5 Sonnet: Anthropic's balanced model for various tasks.
  • Claude 3.7 Sonnet: Anthropic's advanced Sonnet variant.
  • o1-mini: Compact OpenAI reasoning model.
  • GPT-4o: Advanced reasoning and more sophisticated responses.
  • GPT-4o-mini: Fast and cost-effective option for most general tasks.
  • o1-preview: OpenAI's preview reasoning model.
  • Claude 3 Opus: Anthropic's most powerful model for complex tasks.
  • GPT-5 Pro: Advanced GPT model for professional applications.
  • GPT-4.5 Preview: Preview version of GPT-4.5 with enhanced features.
  • Qwen: Qwen3 32B: Alibaba's Qwen3 model with 32 billion parameters for balanced performance.
  • Qwen: Qwen3 235B A22B: Alibaba's large-scale Qwen3 model with advanced capabilities.
  • DeepSeek Chat: DeepSeek's conversational AI model for dialogue and chat applications.
  • DeepSeek Reasoner: DeepSeek's reasoning-focused model for complex problem-solving.
  • MythoMax 13B: A 13-billion parameter model optimized for creative and narrative tasks.
  • Other supported models: Additional AI models available in your LearningFlow instance.

Choose the Temperature​

Choose from three preset temperature configurations to control the creativity and consistency of AI responses:

1. More Creative​

  • More Creative as a vibrant, effervescent cauldron of imagination, simmering with potential. It's like a crucible where raw data transforms into a dazzling array of ideas, narratives, and solutions.

2. More Balance​

  • More balance considered the thermostat that maintains the equilibrium between vast knowledge and coherent output. It's adept at walking the tightrope between informational density and accessibility, ensuring its responses neither overheat with complexity nor cool into oversimplification.

3. More Precise​

  • More Precise might be likened to a finely-tuned laser, emitting focused and accurate beams of information with surgical precision.

Usage​

Setting Up Simple AI General Prompt​

  1. Add the node to your flow canvas.
  2. Select Process Type: Choose the AI model that best fits your task requirements.
  3. Choose Randomness Setting: Select More Precise, More Balanced, or More Creative based on your desired output characteristics.
  4. Connect Input: Link from upstream nodes (e.g., Text Input, Form Node) to provide the content to be processed.
  5. Connect Instructions: Link from a text block or upstream node to define how the AI should process the input.
  6. Connect Output: Link to downstream nodes (e.g., Display Text, Document Download, Text Join).

Example Workflows​

Scientific Prompt Generator​

Scenario: Create an AI assistant that helps scientists generate creative and scientifically accurate prompts for research in a specific field.

Simple AI General Prompt Example

Steps to Create the Flow:

  1. Start with the Start Node.

  2. Add and connect a Text Input for user input.

    • Configure the Text Input with Medium selected text box height
    • Enable Maths Input option for scientific notation support
    • Enable Handwriting Input option for flexibility

  3. Create a text block with the following instructions:

    You are an AI assistant tasked with generating a creative and scientifically accurate prompt for 
    scientists in a specific field. Your role is to create prompts that inspire innovative research 
    while maintaining scientific rigor and accuracy.

  4. Add and connect a Simple AI General Prompt:

    i. Choose the Process Type: GPT-4o-mini

    ii. Connect the Text Input's Output to Input

    iii. Connect the text block to Instructions

    iv. Select Randomness Setting: Choose More Balanced for creative yet scientifically sound outputs

  5. Add Display Text to show the generated prompt.

Study Guide Generator​

Scenario: Generate comprehensive study guides from topic keywords.

Simple AI General Prompt Example

Steps to Create the Flow:

  1. Start with the Start Node.

  2. Add and connect a Form Node with a text field for topic input.

  3. Add and connect a Simple AI General Prompt:

    i. Choose the Process Type (GPT-4o or GPT-4o-mini)

    ii. Connect the Form Node's Output to Input

    • Example user input:
    Photosynthesis in plants

    iii. Create a text block and connect to Instructions

    Create a comprehensive study guide for the given topic. Include:
    1. A clear definition or overview
    2. Key concepts and terminology (5-7 items)
    3. Important processes or mechanisms
    4. Real-world applications or examples
    5. Common misconceptions
    6. 3-5 practice questions with answers

    Format the content with clear headings and bullet points for easy studying.

    iv. Select Randomness Setting: Choose More Balanced for well-structured, informative content

  4. Add Display Text or Document Download to present the study guide.