System Prompt Generator

Build production-ready system prompts for Claude, GPT-4, and other AI platforms with our free modular prompt engineering tool. The System Prompt Generator helps developers, AI engineers, and businesses create structured, maintainable AI instructions using industry best practices.

Design custom AI assistants, chatbots, and automation tools with clearly defined modules for identity, platform context, quality standards, request parsing, and response formatting. Features dynamic function builders, key-value mapping tools, and quality check processes.

Perfect for enterprise AI deployment, custom GPT development, conversational AI applications, and AI-powered workflow automation. Export professional-grade system prompts that ensure consistent AI behavior, accurate response formatting, and scalable architecture.

No prompt engineering expertise required - our intuitive interface guides you through creating effective AI instructions with modular components that can be updated, tested, and reused across projects.

Core Identity Module

Define the fundamental identity and purpose of the AI. This establishes who the AI is and what it does.

Platform Specifics Module

Include information about the platform that may be relevant or inform responses. This helps the AI understand the context and environment it operates in.

Quality Standards

Define the standards and expectations for the AI's output quality, accuracy, and performance.

Understanding Your Role

Clarify the AI's role, responsibilities, and how it should interact with users and the system.

Dissecting Requests Module

Define how the AI should interpret and process incoming requests. This module includes notes about what the AI will receive and key-value pairs for mapping user inputs to specific values or actions.

Enter the actual key names that will be used in requests. The values shown are examples to illustrate the format.

:

Response Expectations Module

Define what the AI is expected to respond with. In this paradigm, the AI will be responding in preset functions like response("string", num, num/1000, "string")

Further Instructions

Provide any additional instructions, guidelines, or special considerations for the AI's behavior and responses.

Quality Check Process

Define the process or criteria the AI should use to verify the quality and accuracy of its responses before outputting them.