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The breef.in tool offers a service that automatically condenses emails arriving in an inbox and delivers them directly to a Slack workspace. By leveraging AI, it swiftly examines emails and extracts key points, enabling users to effortlessly manage their emails and respond without delay. It is secure, supports all languages, and is a time-saver.
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Cotypist is an AI-driven autocomplete tool for Mac that boosts writing productivity in various applications. It provides word and sentence suggestions while typing, potentially reducing typing time by up to 50% and minimizing errors. Tailored for professionals, students, content creators, and non-native English speakers, Cotypist seamlessly integrates with most Mac applications, processes data locally for privacy, and enables users to retain their distinct writing style. Individuals might opt for Cotypist to enhance writing efficiency, increase accuracy, and improve workflow while preserving control over their content.
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Bit.ai is an all-encompassing platform for document and wiki collaboration, aimed at improving how teams and individuals generate, disseminate, and handle knowledge. It provides a variety of features, including an AI writing assistant, robust wikis, real-time collaboration, document tracking, client portals, and seamless integrations with more than 100 apps. Users can build dynamic, interactive documents and knowledge bases supporting multiple media formats, promoting more efficient and transparent communication. Bit.ai is suited for diverse applications such as project management, content creation, technical documentation, training guides, and client deliverables. Individuals may choose Bit.ai for its capability to simplify collaboration among remote teams, efficiently organize knowledge, and produce engaging, intelligent documents that are easily shareable and trackable.
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LM Studio is a software app enabling users to execute large language models (LLMs) on their personal devices without requiring an internet connection, thus providing improved privacy and data security. It accommodates various models like LLaMa, Falcon, MPT, Gemma, and others from Hugging Face repositories. Users can engage with models via an in-app Chat UI or a local server that is OpenAI's API compatible. LM Studio is perfect for individuals aiming to utilize LLMs for personal projects, research, or development while keeping full control of their data. This approach to locally running machine learning models is particularly appealing to those who prioritize privacy or handle sensitive information.