PromptVisor is an innovative tool that leverages AI technology to help content creators, educators, and businesses manage and optimize their prompts effectively. It provides detailed analytics to enhance prompt performance, ensuring better content engagement. With PromptVisor, users can streamline their content creation process, track the effectiveness of their prompts, and make data-driven decisions to improve user interaction.

MagicSchool AI is an award-winning platform providing over 80 AI tools, helping educators worldwide with tasks like lesson planning, assessments, IEPs, and student support. Trusted by over 10,000 schools and districts, it aims to save educators time, support diverse learning needs, and enhance student outcomes, while also promoting responsible AI usage.

SwiftSora is an open-source AI video and image generator that uses OpenAI’s powerful Sora model to turn textual input into high-quality visual content. With its user-friendly interface, SwiftSora makes content creation easy and efficient, providing a powerful tool for marketing, education, and creative projects. Users can deploy the project to Vercel with just one click, making it accessible for anyone looking to enhance their content creation process without needing extensive technical skills.

The YouTube Transcript AI Extension helps you generate summaries and topics from YouTube video transcripts. By utilizing advanced AI algorithms, this tool extracts key points and important information from video content, saving you time and enhancing your comprehension. The extension is easy to use and integrates seamlessly with your Chrome browser. Whether you're a student, researcher, or content creator, this tool is designed to optimize your video consumption experience.

LLaVA-Plus builds upon leading vision-language foundations to deliver an agent capable of interpreting and reasoning over multiple images simultaneously. It integrates assembly learning and vision-language planning to perform complex tasks such as visual question answering, step-by-step problem-solving, and multi-stage inference workflows. The framework offers a modular plugin architecture to connect with various LLM backends, enabling custom prompt strategies and dynamic chain-of-thought explanations. Users can deploy LLaVA-Plus locally or through the hosted web demo, uploading single or multiple images, issuing natural language queries, and receiving rich explanatory answers along with planning steps. Its extensible design supports rapid prototyping of multimodal applications, making it an ideal platform for research, education, and production-grade vision-language solutions.