Scarlett.

Scarlett is designed to function as an AI co-worker, seamlessly integrating into your team's communication channels like Slack and iMessage. Its primary purpose is to act as a genuine colleague, augmenting your team's capabilities and potentially running aspects of your company on autopilot. This AI aims to provide superpowers to your team, streamlining workflows and enhancing overall productivity. The problem Scarlett addresses is the fragmentation of tools and the need for a more integrated, intelligent assistant within existing communication platforms. Traditional AI bots often operate in isolation, requiring users to switch between multiple applications. Scarlett aims to solve this by embedding AI directly into the tools teams already use daily, reducing context switching and making AI assistance more accessible and natural. Scarlett offers several key features to achieve this. Firstly, "She Just Works," indicating a high level of reliability and a year of refinement in its models, architectures, and backends. This ensures that the AI is dependable and ready to perform tasks without constant troubleshooting. Secondly, the "Autopilot" feature allows users to set Scarlett free to manage various aspects of their business, from marketing to customer support. This is powered by training on over 50 business and growth books, enabling it to operate autonomously or with user-defined parameters. Another significant feature is its iMessage integration, catering to solopreneurs or teams who may not use Slack. This provides a flexible communication channel for the AI. Furthermore, Scarlett allows users to "Use Our Keys," meaning you can leverage services like HeyGen or XAI through Scarlett without needing to purchase separate subscriptions, passing along the cost directly. This simplifies access to powerful tools. Finally, Scarlett employs a "Right Model, Right Job" approach, allowing users to select the most appropriate AI model for specific tasks, such as Opus for chat, Sol for coding, or Fable for design, optimizing performance and efficiency. Scarlett's operational methodology is built on a hybrid approach to memory and data management. Instead of relying solely on separate vector databases, it integrates semantic search capabilities directly into its SQL layer. This allows for efficient querying of structured data (who, when, which entity) combined with semantic ranking for relevance. Raw messages are compiled into entity-scoped, source-backed memory, creating a wiki-like structure for long-term recall that prioritizes compiled facts before drilling into raw evidence, ensuring speed and clean context. The benefits for users include enhanced team productivity, the ability to run company operations more autonomously, and simplified access to advanced AI capabilities. By integrating into existing workflows, Scarlett reduces the learning curve and the need for specialized AI expertise, making powerful AI assistance accessible to a broader audience. Specific use cases for Scarlett include automating daily company reports, triaging customer inquiries, and managing social media presence, particularly on platforms like X. For founders just starting, recommended workflows include generating daily company reports, handling customer triage, and automating primary social media activities. Scarlett is designed for a non-technical audience, aiming to abstract away the complexities of APIs and model management. The team behind Scarlett has a history of previous launches, including ZeroHuman, Cracked.ai, Vireel, and Muse, indicating a track record in developing AI-powered tools. The product utilizes a hybrid SQL and semantic search approach for memory management, prioritizing speed and context clarity. In summary, Scarlett positions itself as an indispensable AI co-worker that integrates deeply into team communication, offering powerful automation and operational capabilities without the usual complexity, thereby empowering teams to achieve more.