Natural-language automation 4

AI workspace for natural-language task execution and professional coding TraeWork is an AI-native workspace launched by ByteDance and upgraded from TRAE SOLO. It provides Work and Code modes. Work mode is designed for non-technical users such as product managers, operations professionals, and content creators: users describe their needs in natural language, and the AI automatically breaks down tasks, calls tools, and delivers complete results. Code mode retains professional software development capabilities. The provided page indicates that access is currently unavailable in the user's region.

AI browser for automating research, operations, sales, recruiting, and other internet-based work. Polar is an AI browser that performs knowledge-work tasks across websites using natural-language instructions. It can research information, operate inside existing accounts and sessions, automate browser workflows, summarize web pages, conduct recruiting and sales tasks, manage data and email work, and handle business operations. Polar supports both quick tasks and autonomous work lasting several hours, while allowing users to monitor its actions and take control when needed. Users can also save prompts as recurring workflows and run them hourly, daily, weekly, or on custom schedules.

AI platform for assembling, running, and sharing customizable workflows Taku is an AI workflow platform that turns apps, agents, skills, and workflows into runnable desktop tools. Users can discover and borrow AI tools from a marketplace, describe a goal in plain language, and let Taku assemble the necessary applications into a personalized Stack. These workflows can be run, customized, shared, and published as Stax for others to install and remix. Taku also supports creator distribution and monetization, allowing creators to earn when their Stax are used.

Platform for creating autonomous AI employees from natural-language prompts Verse is an AI employment and automation platform that turns natural-language prompts into autonomous AI employees. These role-based AI employees can use computers, browse the web, connect to more than 1,000 tools and integrations, maintain memory and context, and execute work continuously without traditional coding. Users can create, train, deploy, and manage AI employees for roles such as sales, marketing, customer support, operations, research, recruiting, and personal assistance.