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Perplexity AI tool is a search engine that provides an enhanced experience with options like image upload, improved AI capabilities, and extended search features. Users can ask questions on various topics and obtain comprehensive answers, addressing inquiries such as the history of the Medal of Honor, the creation of the plunger, techniques for crab catching, and suggestions for top ateliers in Paris. The tool is part of a suite that includes Pro, Enterprise, Playground, and Blog sections, showcasing its adaptability and relevance for diverse user needs and interests. The platform is accessible in English, serving a global audience in search of knowledge and insights.

Maskara is an AI-driven platform that facilitates live debates between leading AI models by automatically providing the winning response, eliminating the need for users to master complex prompt engineering. This tool streamlines the often intricate process of comparing AI outcomes, simultaneously runs multiple advanced models on a single query, and intelligently analyzes their responses to identify the most effective solution. Professionals, researchers, content creators, and business users benefit from Maskara’s ability to remove the guesswork in determining which AI response to trust, saving significant time and enhancing result quality. By orchestrating such AI model competitions in real-time, Maskara offers a unique approach to extracting maximum value from artificial intelligence, making sophisticated AI capabilities accessible to users regardless of their technical expertise in crafting prompts or selecting models.

Kino AI is an AI tool designed to manage footage metadata and organize media resources. It offers numerous functionalities, including inferred metadata, keyword indexing, easy browsing of footage, backup, synchronization, organization, AI-driven transcription, metadata tagging, and more. By automating repetitive and critical workflow tasks, Kino AI aims to streamline the editing process. A private beta will be available shortly, and interested users are encouraged to join the waitlist for early access.