Promptify and prompt-poet
These are complements: Promptify provides structured output extraction and prompt versioning for production use, while Prompt Poet offers low-code prompt design and iteration for creating those prompts, making them useful in sequence during development and deployment workflows.
About Promptify
promptslab/Promptify
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
This tool helps non-technical professionals extract specific information, categorize text, or answer questions from unstructured text using AI. You input raw text (like medical notes, customer reviews, or articles) and specify what kind of structured output you need, such as lists of conditions, sentiment labels, or direct answers. It's designed for data analysts, researchers, or anyone who needs to quickly get organized data from large amounts of text without extensive coding.
About prompt-poet
character-ai/prompt-poet
Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
This tool helps AI application developers and product managers quickly design and refine prompts for large language models. You provide a flexible template using YAML and Jinja2, along with specific data (like a character's name or user query). The tool then generates optimized prompt messages that improve AI model interactions, saving time on manual string manipulation and allowing you to focus on crafting the best user experience.
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