Combining Features

Updated November 2, 2026 — Le Chat becomes Vibe. As of May 28, 2026, Le Chat is now Vibe (still at chat.mistral.ai): a single agent for work and code, with your conversations, settings, and subscriptions carried over. The legacy Le Chat experience remains accessible in Chat mode; in Work mode, agents are now skills (invoked with @), memories are the knowledge base, and deep research is the Deep Research skill. Plans are now called Mistral Free, Pro, Team, and Enterprise. This lesson uses the name Vibe; some menus described here may have changed names or locations.

A complete workflow with Vibe

You’ve discovered Vibe’s advanced features one by one: Deep Research, Canvas, Memories, Projects, Agents, Flash Answers, and Think Mode. Taken separately, each solves an isolated problem. Combined, they cover the entire production process, from the initial question to the final deliverable.

From research to deliverable

This is the most common path: producing a well-documented report from a still-vague topic. You first scope the terrain with Deep Research, defining the perimeter: “Use Deep Research to analyze trends in the European cybersecurity market in 2026. Include major investments, emerging threats, recent regulations, and key players.” Within minutes, you have a report with verifiable sources.

This report isn’t a deliverable; it’s raw material. The next step moves it into Canvas, imposing the structure your audience expects: “Open Canvas and turn this research report into a white paper for our leadership. Structure: executive summary, context, segment analysis, recommendations, appendices.” You then edit directly in the document—reorganizing, adding what the research couldn’t know about your company, and removing the rest.

Next comes finishing, via Canvas selection tools. You highlight the executive summary and ask “Make it more impactful, maximum 200 words”; you select the recommendations to demand “Add cost and timeline estimates for each recommendation”; you finish with “Add a clear call to action for the leadership team.” The document finally goes to your usual tool—Google Docs, Word, or Notion—for formatting.

A dedicated assistant for a project

The second orchestration doesn’t produce a document but a persistent work environment. It takes three steps: create a Project with reference documents (specifications, timeline, org chart), write instructions that set the framework—“This project concerns the launch of our new mobile app. Target: healthcare professionals. Deadline: September 2026. Budget: €150K.”—then create a specialized Agent with Web Search and Code Interpreter enabled.

Usage then distributes over the week: Monday, Deep Research for competitive intelligence; Tuesday, the Agent analyzes last week’s metrics with Code Interpreter; Wednesday, progress report in Canvas; Thursday, Flash Answers for quick questions and Think Mode for decision-making; Friday, consolidation into a weekly report. Without ever rehashing the project: the context is already there.

Producing marketing content

The editorial workflow follows the same logic. Planning goes through Deep Research: “Use Deep Research to identify the top 10 most searched topics in our industry this month, with search volume and SEO competition.” For each selected article, production passes through different stages. Think Mode first builds a detailed plan with original angles, which a quick response couldn’t produce. Canvas then takes over for writing, section by section. Flash Answers steps in as support during writing, whenever a fact or figure needs verification, without pulling you out of the document. The Image Generation Agent wraps up by creating illustration visuals.

Once the draft is done, a final optimization pass focuses on visibility: “Analyze this article draft and suggest SEO improvements: optimized titles, secondary keywords to integrate, meta description, internal link structure.”

Analyzing data and reporting

Last workflow, reporting. Your data files join a dedicated Project, and Deep Research contextualizes them with industry benchmarks—a number only makes sense when compared. Analysis goes to an Agent equipped with Code Interpreter, with a request that names the expected indicators: “Analyze this monthly sales CSV file. Identify trends, anomalies, and correlations. Generate charts for the following KPIs: revenue, average order value, conversion rate by channel.” Insights and charts then migrate to Canvas, where you adjust the tone depending on whether the report addresses your team or your leadership team.

Principles for combining features

The first instinct is to match the tool to the need: a simple or factual question requires Flash Answers; a complex analysis requires Think Mode; in-depth documentary research requires Deep Research; long content production requires Canvas; a recurring specialized task justifies a dedicated Agent; shared context across multiple conversations justifies a Project.

The second is a check against enthusiasm: not all workflows require all features. A quick email only needs Flash Answers, and a brainstorming session works well with an ordinary conversation in Think Mode.

The third is a matter of method. Vibe is better at iteration than getting it right the first time: produce a first draft quickly, even if it’s imperfect, then correct with iterative refinements.

Key takeaways

• Vibe’s real power lies in combining its features
• Deep Research feeds Canvas, which produces the final deliverable
• Projects and Agents structure your work environment
• Choose the right mode (Flash, Think, Deep Research) based on task complexity
• Iterate progressively rather than seeking immediate perfection