Vibe by Mistral (ex-Le Chat)Latest version

Introduction to the Vibe by Mistral (ex-Le Chat) APP

Vibe by Mistral is a unified AI agent developed by Mistral AI; it was originally named Le Chat and is designed for use in professional tasks, research, and programming. On mobile devices, it offers two main modes: Work and Chat. Users can specify their goals using natural language, and the agent will then utilize web pages, attachments, personal knowledge, as well as connected tools to plan steps and deliver reusable results.

Main functions of the Vibe by Mistral (ex-Le Chat) APP

• Execution of long-duration tasks:After the user describes the desired final outcome, Vibe can break down the tasks, invoke the appropriate tools, and work on them step by step; it is suitable for research, organization, and delivery tasks that cannot be completed through a single question-and-answer session.
• Work mode:For handling multi-phase, specialized tasks across different applications on mobile devices, it is possible to take advantage of functions such as research, drafting, summarization, and planning, thereby allowing a single conversation to cover the entire process from gathering information to producing the final result.
• Chat Quick Dialogue:The Chat mode is suitable for instant Q&A and simple daily tasks; it also retains the conversation history, settings, and some of the existing functions of the original Le Chat, thereby allowing users to continue with their usual ways of using it.
• Cross-Source Work Briefing:It allows emails, chats, calendars, and internal knowledge to be aggregated in a single run, identifying unread messages and key tasks that need attention, thus helping users keep track of their work progress quickly.
• In-depth research:Search for web pages, internal documents, and connected tools related to a specified topic, and compile analyses along with their sources; this is useful for market research, analysis of competitors, and preparation of specialized materials.
• Table and database analysis:After uploading a spreadsheet or connecting to a database, it is possible to identify data patterns, anomalies, and key signals, thereby assisting users in deriving readable conclusions from business data.
• Delivery of documents and presentations:It is possible to create or edit PDFs, board presentations, strategic briefs, requirement documents, reports, and responses to proposals based on research and data, thereby turning the analysis results directly into actionable outcomes.
• Meeting preparation:Extract information on participants’ backgrounds, recent developments, and key discussion points from knowledge sources to generate a one-page pre-conference briefing, thereby reducing the time required for manual research.
• Drafting of emails and announcements:By leveraging the internal context, drafts of email replies, project updates, and announcements can be generated; users can review the content before using it for team communication or external communication.
• Application and tool connection:Through connectors and MCP compatibility, it is possible to integrate with over a hundred different tools such as email, calendar, Slack, GitHub, Jira, etc.; this allows agents to access the relevant context once they have been authorized and to work together on tasks.
• Multi-step business process:It enables data transfer between different systems, triggers actions, and facilitates sequential processes, making it suitable for tasks that require multiple steps such as document processing, contract review, and candidate screening.
• Manually check nodes:In batch processing and sensitive operations, a manual confirmation step is retained, and tool calls along with the current progress are displayed; users can review, adjust, or stop tasks at any time.
• Reusable agents and scheduled tasks:Common processes can be packaged as reusable agents, or trigger conditions and scheduled executions can be set up for periodic reports, routine organization, and business follow-up.
• Files and knowledge context:It is possible to gather the necessary background information from prompts, attachments, web pages, and connected knowledge sources, and then use this information to create analyses and drafts that are more in line with the actual data.
• Voice input:The mobile version supports voice input provided by Voxtral; users can simply speak their questions or instructions, which makes it suitable for use in mobile work environments or situations where it is difficult to use a keyboard.