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Output

AI that adapts to humans by observing how you work

2025-05-20

Product Introduction

  1. Output is an AI agent designed to operate computers with human-like precision by performing clicks, scrolls, and keyboard inputs to automate complex tasks across applications. It interacts directly with your operating system’s graphical interface, eliminating the need for preconfigured scripts or API integrations. Users control Output through natural language conversations, enabling it to execute workflows such as job applications, document editing, or video production. The product is currently available for early access on macOS and Windows systems.

  2. The core value of Output lies in its ability to replace manual, repetitive computer interactions with autonomous AI-driven execution, reducing time spent on routine tasks. By mimicking human behavior, it adapts to dynamic interfaces and workflows without requiring technical expertise from users. This transforms productivity for individuals and businesses by handling multi-step processes end-to-end, such as filling forms, validating data, or navigating software tools.

Main Features

  1. Human-Like Interface Control: Output operates applications by directly interacting with on-screen elements, replicating human actions like mouse clicks, typing, and scrolling. It uses visual recognition to identify buttons, text fields, and menus, enabling compatibility with both web browsers (e.g., Safari) and native apps (e.g., DaVinci Resolve). This eliminates dependency on backend APIs or prewritten automation scripts.

  2. Cross-Application Workflow Automation: The AI seamlessly transitions between apps, such as extracting data from a PDF in Adobe Acrobat, inputting it into a spreadsheet in Numbers, and emailing results via Gmail. It supports over 50+ apps, including WhatsApp, Excel, and Chrome, adapting to unique UI layouts through dynamic learning.

  3. Goal-Oriented Task Execution: Users define objectives in plain language (e.g., “Apply to 20 marketing jobs on LinkedIn”), and Output autonomously breaks them into steps: logging into accounts, filtering listings, auto-filling applications, and submitting forms. It provides real-time progress tracking and error correction, such as retrying failed uploads or fixing formatting issues in documents.

Problems Solved

  1. Manual Task Inefficiency: Output addresses the time-consuming nature of repetitive digital tasks, such as copying data between apps or submitting identical forms across multiple platforms. It reduces hours-long workflows to minutes while minimizing human error in data entry or navigation.

  2. Non-Technical User Accessibility: The product caters to users lacking coding skills to build traditional automation (e.g., Python scripts or RPA tools). By using conversational commands, it democratizes advanced task automation for students, professionals, and creatives.

  3. Multi-Step Process Management: Output solves challenges in coordinating tasks across fragmented tools, such as compiling research from web sources into a presentation, editing videos with timestamp adjustments, or batch-processing e-commerce orders. It handles conditional logic, like validating email formats before submission or retrying payment failures.

Unique Advantages

  1. No-Code, Adaptive Automation: Unlike script-based tools (e.g., AutoHotkey or Selenium), Output requires no predefined rules or selectors, adapting to UI changes in real time. It learns from user corrections, improving accuracy across repeated tasks without manual updates.

  2. Native OS Integration: Output interacts with applications at the operating system level, supporting features inaccessible to browser-only bots, such as system dialogs, keyboard shortcuts, and desktop notifications. This enables deeper automation in apps like Final Cut Pro or Microsoft Teams.

  3. Visual and Contextual Awareness: The AI analyzes screen content holistically, combining OCR for text, image recognition for buttons, and contextual cues (e.g., app state) to make decisions. This allows it to handle ambiguous scenarios, like distinguishing “Submit” buttons in cluttered interfaces or detecting loading screens to pause execution.

Frequently Asked Questions (FAQ)

  1. What operating systems does Output support? Output is compatible with macOS (version 12.0 or newer) and Windows (version 11 or newer), with plans to expand to Linux and mobile platforms. It requires a minimum of 8GB RAM and a 64-bit processor for optimal performance.

  2. How does Output handle security-sensitive tasks like passwords? The AI operates locally on your device, avoiding cloud processing for sensitive data. Credentials are stored in an encrypted vault and auto-filled only after user approval via biometric authentication or master password.

  3. Can Output work with custom enterprise software? Yes, Output’s visual recognition adapts to proprietary UIs after minimal training. Users can demonstrate workflows once, and the AI replicates them, even in apps with non-standard controls or dynamic layouts.

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