SmartPrompt was born from my work on DocumentFlow, where I identified the need for a sophisticated prompt engineering tool. This platform empowers developers to create, test, and optimize prompts for large language models, making it an essential companion for AI development workflows.
Personal workspace for managing prompts
Precise token counting and optimization
Seamless connection with OpenAI models
Create and share prompt libraries
Flexible templating for prompt customization
Export prompts as reusable code templates in LangChain
Start exploring with complimentary credits
Access proven prompt engineering techniques
Built with a modern tech stack including Next.js for the frontend, Clerk for authentication, and Drizzle for database management. The platform leverages advanced tokenization through tiktoken and integrates seamlessly with OpenAI models for comprehensive prompt testing and optimization.
While developing DocumentFlow, I encountered the need for a more sophisticated approach to prompt engineering. SmartPrompt emerged as a solution to streamline the process of creating and testing prompts, making advanced prompt engineering techniques accessible to developers working with AI systems.