Stitch Integrations

Where teams collaborate to design. Figma allows teams to create, test and ship better designs from beginning to end. Your work will be fast and powerful. Figma is packed with design tools you already love and unique inventions such as the Arc tool or Vector Networks. Figma keeps your ideas flowing. You don't need to stop to save, export, or install. It's what cloud software should do. Animated prototypes make your ideas come to life faster and feel just like the real thing. Get feedback from users and test your ideas earlier and more often. You can share a link to your prototypes or design files and get feedback from others. You can also jump into the same file as your colleagues, no matter where you are located in the world, and co-edit it live. You can create a scalable design system that is easy to manage and accessible for your company. If all designers speak the same language, everyone is more empowered to do their best work.

Gemini, an innovative AI chatbot from Google, aims to boost creativity and productivity through engaging conversations in natural language. Available on both web and mobile platforms, it works harmoniously with multiple Google services like Docs, Drive, and Gmail, allowing users to create content, condense information, and handle tasks effectively. With its multimodal abilities, Gemini can analyze and produce various forms of data, including text, images, and audio, which enables it to deliver thorough support in numerous scenarios. As it continually learns from user engagement, Gemini customizes its responses to provide personalized and context-sensitive assistance, catering to diverse user requirements. Moreover, this adaptability ensures that it evolves alongside its users, making it a valuable tool for anyone looking to enhance their workflow and creativity.

Galileo AI transforms straightforward text descriptions into engaging and customizable UI designs, allowing you to accelerate your design process significantly. Our innovative technology draws insights from a wealth of exemplary user experience designs, crafting UIs that align perfectly with your requirements at remarkable speed. Enhance your projects with our thoughtfully selected AI-generated visuals and images that resonate with your artistic vision. Through the application of advanced language models, our AI comprehensively grasps intricate contexts, ensuring that the product copy is both accurate and relevant. This means you can minimize time spent on monotonous tasks like repeating UI patterns and minor adjustments. Consequently, you can redirect your energy towards creating impactful design solutions that drive innovation and creativity, ultimately leading to a more fulfilling design experience.

Project Mariner is an innovative research prototype created by Google DeepMind, utilizing their sophisticated AI model, Gemini 2.0. This project investigates the potential for enhanced human-agent interaction by automating a variety of tasks directly within a user's web browser. With its ability to understand multiple forms of information, Project Mariner can analyze and reason through diverse browser components, such as text, code snippets, images, and online forms. This functionality empowers it to adeptly navigate intricate websites, streamline repetitive workflows, and supply users with visual updates. The system is also capable of interpreting voice commands, providing real-time task progress updates and ensuring that users stay informed and maintain control over their activities. Furthermore, Project Mariner excels at deciphering complex instructions by deconstructing them into manageable steps, grasping the interconnections between different web elements, and delivering coherent plans and actions to users. Currently, the initiative is undergoing testing with a limited number of selected users, and those wishing to engage in future testing can express their interest by joining a waitlist. This approach not only fosters user engagement but also helps refine the system based on real-world feedback.

AlphaEvolve is an innovative coding agent driven by advanced language models, focusing on the discovery and optimization of algorithms for various purposes. By combining the inventive problem-solving skills of the Gemini models with automated evaluators that authenticate solutions, it employs an evolutionary approach to refine the most promising concepts. This remarkable tool has significantly improved the efficiency of Google's data centers, chip design, and AI training methodologies, including the development of the large language models that support AlphaEvolve. Additionally, it has contributed to the creation of faster matrix multiplication algorithms and has provided novel solutions to unresolved mathematical challenges, indicating its vast potential for diverse applications. The versatility of AlphaEvolve suggests that its impact on technology and research could continue to grow in the future.

The Music AI Sandbox comprises a collection of innovative tools aimed at igniting creativity and assisting artists in the exploration of distinctive musical concepts. Created through collaboration with musicians, these practical instruments are designed to facilitate new avenues for music creation. Among its features, users can generate novel instrumental ideas by articulating the desired sound, and they can delve into various genres, moods, vocal styles, and instruments. Additionally, it provides the ability to create musical continuations based on either uploaded or newly generated audio clips, serving as a valuable resource for overcoming writer’s block. Users can also modify the mood, genre, or style of an entire audio clip or make precise adjustments to particular sections, utilizing user-friendly controls for both subtle and dramatic changes. With this suite of tools, musicians can discover new sonic landscapes, experiment across a range of genres, enrich their musical collections, and potentially craft entirely new styles that push the boundaries of their artistry. Ultimately, the Music AI Sandbox invites artists to rethink their creative processes and explore the limitless possibilities of sound.

HTML, which stands for HyperText Markup Language, serves as the foundational markup language utilized by all websites across the internet. This coding language is essential for constructing and organizing the various components of websites and their respective pages. The latest iteration, known as HTML5, is specifically designed for the layout and presentation of content on the World Wide Web, representing the fifth and final significant version that has been endorsed by the World Wide Web Consortium (W3C). The existing specification is referred to as the HTML Living Standard, which is actively updated by the Web Hypertext Application Technology Working Group (WHATWG), comprising leading browser developers like Apple, Google, Mozilla, and Microsoft. HTML5 features comprehensive processing models aimed at fostering greater compatibility among different implementations; it enhances and refines the markup options available for documents while also introducing new markup and application programming interfaces (APIs) that are beneficial for intricate web applications. Due to these advancements, HTML5 is also being considered as a platform for developing cross-platform mobile applications, highlighting its versatility and importance in modern web development. Ultimately, HTML5’s continual evolution reflects the growing demands of digital content creation and user experience.

Chinchilla is an advanced language model that operates with a compute budget comparable to Gopher while having 70 billion parameters and utilizing four times the amount of data. This model consistently and significantly surpasses Gopher (280 billion parameters), as well as GPT-3 (175 billion), Jurassic-1 (178 billion), and Megatron-Turing NLG (530 billion), across a wide variety of evaluation tasks. Additionally, Chinchilla's design allows it to use significantly less computational power during the fine-tuning and inference processes, which greatly enhances its applicability in real-world scenarios. Notably, Chinchilla achieves a remarkable average accuracy of 67.5% on the MMLU benchmark, marking over a 7% enhancement compared to Gopher, showcasing its superior performance in the field. This impressive capability positions Chinchilla as a leading contender in the realm of language models.