Attyn

Product Introduction

1. Definition: Attyn is a native desktop AI productivity application for macOS (with Windows in development) that functions as a system-level intelligence layer. It operates directly at the user's cursor and screen, integrating AI capabilities into any text-accepting application without requiring separate integrations or API connections.
2. Core Value Proposition: Attyn eliminates the disruptive "AI tab round trip" by bringing generative AI actions—writing, rewriting, dictation, screen analysis, and visual explanation—directly into the user's existing workflow. Its primary value is contextual AI assistance without app-switching, enabling users to stay in their flow state while leveraging large language models (LLMs) and multimodal AI.

Main Features

1. Inline Assist: This feature enables in-place text transformation. Users select text in any application (e.g., Gmail, Slack, Figma) and instruct Attyn via a keyboard shortcut to rewrite, refine, or expand it. The AI processes the request using the selected model and profile context, returning the edited text directly into the same field for review, removing the need for copy-paste operations between an AI chatbot and the work document.
2. Realtime Dictation: A speech-to-text engine with on-device transcription supporting 39 languages. It allows users to speak naturally, and the finished, formatted text is inserted at the cursor position in the active application. This feature decouples dictation from a single app, making it a system-wide input method for any text field.
3. Screen Assist: A multimodal screen analysis tool. Users can circle any area on their screen, and Attyn's AI (using a vision-capable model) can answer questions about the visual content, extract information, or summarize what is displayed. This provides contextual AI for visual interfaces without needing to manually describe the screen.
4. Blackboard: A visual explanation and diagramming tool. Users can ask complex questions, and Attyn generates visual explanations, diagrams, or charts on a floating canvas. This turns abstract concepts or data into immediate visual aids, acting as an AI-powered whiteboard for learning and planning.

Problems Solved

1. Pain Point: The fragmented and disruptive workflow of using AI tools, which typically requires constant context switching between a work application and a separate AI web tab or application, followed by manual copying and pasting. This breaks concentration and reduces efficiency.
2. Target Audience: Knowledge workers and creatives who frequently use text and communication apps, including Software Developers, Content Writers, Marketing Managers, Product Managers, Students, Researchers, and Executives. It specifically benefits users who value deep work and streamlined digital environments.
3. Use Cases: Polishing an email draft directly in Gmail with Inline Assist; dictating meeting notes into a Notion document during a call with Realtime Dictation; asking for a summary of a complex graph in a PDF using Screen Assist; quickly visualizing a system architecture or process flow using Blackboard during a planning session.

Unique Advantages

1. Differentiation: Unlike single-purpose dictation apps or browser-based AI chatbots, Attyn is a unified, system-level AI layer. It is not locked to a specific AI model provider, supports both cloud and local models, and works universally across applications without per-app integrations. Competitors often focus on one modality (e.g., just dictation) or are tied to a specific ecosystem.
2. Key Innovation: The "cursor-centric" and "screen-aware" application architecture. Attyn's core innovation is intercepting user input and screen context at the operating system level to make the cursor a direct conduit for AI intelligence. This, combined with its modular profile and specialist system (like "Kian" for design or "Nora" for meetings), allows for personalized AI agents that operate within a consistent, persistent interface across all software.

Frequently Asked Questions (FAQ)

1. Is Attyn a subscription service? No, Attyn offers a flexible pricing model. Users can purchase a lifetime license for a one-time fee to own the application outright, or choose a monthly subscription to rent specific feature sets. This contrasts with purely subscription-based AI tools.
2. Which AI models does Attyn use? Attyn is model-agnostic. Users can bring their own API keys from supported cloud providers (e.g., OpenAI, Anthropic), use pay-as-you-go Attyn Credits, or run supported local models directly on their device for privacy and cost savings on everyday tasks.
3. Does Attyn work with every application on my computer? Yes, Attyn works in any application that accepts text input, as it operates at the system cursor level. There is no "supported apps" list because it does not require individual app integrations. This includes web browsers, desktop apps, and even some game chat interfaces.
4. How does Attyn handle privacy and data security? When using local models, all processing occurs on-device. For cloud models, data is sent to the user's chosen provider (e.g., OpenAI's API). Attyn's architecture allows users to choose the privacy level appropriate for each task by selecting between local and cloud intelligence.
5. What is the difference between Attyn and macOS dictation or Windows Voice Typing? Built-in OS dictation is a basic input method. Attyn's Realtime Dictation includes advanced on-device transcription, formatting, and is part of a broader AI suite (Inline Assist, Screen Assist, Blackboard). It's a comprehensive AI copilot, not just a speech-to-text tool.