Clark

Clark is an AI coworker designed to operate with its own dedicated cloud computer, encompassing a browser, terminal, file system, and coding environment. It is intended for users who need to delegate complex, multi-step tasks to an AI and receive finished work, complete with supporting evidence. The primary purpose of Clark is to automate workflows that typically require human intervention, allowing users to offload these tasks and focus on other priorities. The current landscape of AI interaction often confines users to a chat window, limiting the scope of tasks that can be effectively automated. This approach can be inefficient for complex projects that require persistent state, access to tools, and the ability to execute multi-step processes. Clark addresses this by providing an AI with its own computational environment, moving beyond simple prompt-response interactions to full task completion. Clark's core functionality revolves around its ability to manage a cloud computer. This includes a built-in browser for web-based tasks, a terminal for command-line operations, and a file system for managing documents and code. Users can assign real-world tasks such as conducting wide, sourced research, building websites, generating spreadsheets, creating presentations, performing audits, or testing code. The AI can fan work out to parallel specialists, meaning it can break down a large task and assign parts of it to different AI agents working concurrently, which can then merge their results into a final artifact. Clark also offers scheduling capabilities, allowing tasks to be run at specific times or on a recurring basis. This is particularly useful for monitoring tasks or routine operations that need to be performed consistently. The AI returns artifacts that are accompanied by the evidence behind them, such as logs, screenshots, or source URLs, enabling users to inspect the process and verify the results. For developers, Clark provides Clark Code, which allows it to work within real code repositories. This feature enables the AI to make changes directly in a repository, similar to how tools like Codex or Claude operate, and can hand back a pull request or diff for review. This integration into development workflows aims to streamline coding tasks and code maintenance. Clark's approach is to provide an asynchronous workspace where tasks can be initiated, and users can step away, returning later to find the work completed. This is facilitated by its "own cloud computer" model, which ensures that the AI has a persistent and capable environment to execute tasks. The AI can also be embedded into other applications through an OpenAI-compatible API, allowing developers to integrate Clark's capabilities into their own products and services. The benefits for users include significant time savings, increased productivity, and the ability to tackle more complex projects without direct, continuous involvement. By offloading tasks to Clark, users can achieve outcomes like completed research reports, deployed websites, tested code, and organized data, all with verifiable evidence of the work performed. Concrete use cases for Clark include drafting documents, performing deep and wide research, prototyping toy projects, and handling tasks that require browser interaction like filling out forms. For software development, Clark Code serves as an alternative to traditional code assistants, capable of handling serious software development tasks. It can also manage calendars and perform scheduled monitoring. Clark is available on web and mobile platforms. It offers an OpenAI-compatible API for integration. While specific pricing details are not provided, the mention of "2000 credits" suggests a credit-based system or a free tier. The product is categorized under AI Workflow Automation and AI Engineer. In summary, Clark redefines AI assistance by providing a dedicated cloud computer for AI agents, enabling them to autonomously complete complex, real-world tasks and deliver verifiable results, thereby enhancing productivity and automating intricate workflows.