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Description

Limova serves as a cloud-based AI platform that assists businesses by automating repetitive tasks across various areas including marketing, sales, customer service, administration, and operations. Users can assign responsibilities to specialized agents that handle tasks such as creating social media content, writing search-optimized articles, conducting prospect research, answering customer queries, and managing telephone reception. The platform integrates with a range of business tools such as email, calendars, messaging apps, CRM systems, cloud storage, and social media networks, enabling agents to execute actions within connected workflows seamlessly. A central assistant is available to oversee the work of these specialized agents, while users have the ability to set instructions, offer business context, manage permissions, and monitor activity. This service caters to a wide array of clients, including entrepreneurs, freelancers, startups, small to medium-sized enterprises, and larger corporations aiming to streamline their tasks without requiring any coding expertise. Ultimately, Limova empowers organizations to focus on growth and innovation by significantly reducing the burden of manual processes.

Description

Meta Muse is a personal AI agent built to help users complete everyday tasks rather than only answer questions in a chat interface. The service operates through a persistent secure virtual machine equipped with its own browser so it can navigate websites and carry out online workflows. Muse can help with activities such as scheduling appointments, completing forms, interacting with customer service, and making arrangements on the user’s behalf. Users can communicate with the agent through the Muse app or directly in WhatsApp using a conversational messaging interface. The agent can connect with services such as email, calendars, Instagram, and other frequently used applications to work across a broader set of personal tasks. Muse can turn goals into action plans, track progress, and proactively suggest additional steps based on what the user is trying to accomplish. For consequential actions such as sending emails or completing purchases, the system can request approval before proceeding and provides an audit trail of agent activity. Login credentials are stored in a secure credential system that the agent itself cannot read, while checkout workflows can use one-time card numbers so the user’s primary payment information is not exposed. Muse is designed for people who want an AI agent that can actively execute tasks, coordinate across apps, and continue working toward goals with user oversight.