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Description

Actionbook is an AI agent in your browser. It is built for marketers, salespeople, product teams, and solo founders who have too much web work on their plate. Use Actionbook for prospect research, dashboard reporting, creator analytics, and other multi-step web research. Get back a sourced report, a clean CSV, or ready-to-send drafts. WHAT ACTIONBOOK CAN CLOSE OUT - Prospect research: Find people and companies that match your criteria, review their recent activity, and draft personalized openers based on the source material. Organize the results into a CSV with source links. - Dashboard reporting: Collect selected analytics and campaign metrics from the dashboards you use, then prepare a clear report or CSV. - Creator analytics: Review your account insights, identify what performed and what did not, and turn the findings into a focused report with next steps. - Community and review research: Research forum discussions and customer reviews on a topic, then report what people praise and complain about, with links to the original sources. SAVE IT AS A RECIPE When a task works the way you want, turn it into a Recipe with /CreateRecipe. Next time, choose this Recipe, adjust the inputs, and run it again. As the workflow changes, you can update the Recipe instead of starting over. WORKS IN YOUR OWN BROWSER Actionbook runs in the browser you already use, not in a separate remote browser. That means it can work with dashboards, internal tools, and other pages you can open using your existing logins. Your credentials stay local.

Description

Browser Use is an open-source Python library designed to allow AI agents to interact fluidly with web browsers. By merging sophisticated AI functionalities with effective browser automation, it empowers agents to execute various tasks such as job applications, browsing websites, gathering data, and responding to messages on services like WhatsApp. This library is compatible with several large language models, including GPT-4, Claude 3, and Llama 2, making it easier to carry out intricate web activities through an intuitive interface. Among its notable features are visual recognition paired with HTML structure extraction for thorough web engagement, automated management of multiple tabs to streamline complex processes, and element tracking that leverages the extraction of XPaths from clicked elements to replicate specific actions performed by LLMs. Users can also implement custom functionalities, such as saving data to files, executing database queries, sending notifications, or incorporating human input. Furthermore, Browser Use is equipped with smart error handling and automatic recovery mechanisms, ensuring that automation workflows remain resilient and efficient. This combination of features makes Browser Use a powerful tool for developers looking to enhance web automation with AI capabilities.