PromptPal

Pricing model
Free
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PromptPal is an AI-driven tool designed to assist marketers, writers, designers, and other professionals by offering prompts to enhance their work. Users can search for prompts within various categories such as content writing, education, development, and marketing. The tool also enables users to filter prompts by tags and time frame and offers access to popular featured prompts. Additionally, users can copy prompts to their clipboard and save them for future use.

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Freemium
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QP NOTES is an AI-driven platform that provides sophisticated categorization capabilities and a global collection of user prompts. It enables users to categorize their prompts by theme, intent, or any criteria, collaborate and share with other AI enthusiasts, download stored prompts, and access the tool from any location.
Freemium
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PromptDC is an AI-driven platform for prompt engineering, assisting users in the creation, management, and optimization of prompts for generative AI models like ChatGPT. It simplifies the process of developing effective AI instructions by offering templates, organizational tools, and best practices for prompt design. Professionals across various fields can use PromptDC to break through creative barriers, boost productivity, and enhance the quality of AI outputs for tasks like content creation, coding, marketing, and business. By concentrating on the prompt engineering discipline, the platform helps users consistently achieve precise, relevant, and beneficial responses from AI systems, ultimately saving time and improving the overall efficacy of AI interactions in their workflow.
Paid
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Markprompt is a tool that enables users to effortlessly create a GPT-4 prompt for Markdown documents. It removes the necessity for configuration, hosting, and metrics collection. Supporting Markdown, Markdoc, and MDX files, it is compatible with all OpenAI completion models, including GPT-4. It provides a generous free tier, with the ability to scale according to usage. Additional features include feedback and analytics to identify content weaknesses. The source code can be accessed on GitHub.