The creator demonstrates building a fast, efficient AI research agent using Mistral Vibe and Surf Agent to perform real-time sentiment analysis on Reddit and X.com for AI trading research, highlighting ease of setup, speed, and iterative optimization. They develop a reusable skill called “Reddit Pulse” to automate multi-subreddit browsing and sentiment summarization, enhancing research reliability and encouraging viewers to explore similar AI-driven workflows.
In this video, the creator demonstrates building a fast and efficient AI research agent using Mistral Vibe, sponsored by Mistral. The goal is to create a hyper-specific web browsing agent tailored for sentiment analysis on Reddit, particularly for AI trading research. The creator chooses to use their own tool, Surf Agent, which integrates with the Mistral Medium 3.5 High model on Vibe, to browse Reddit and gather contextual data quickly. The installation and setup of Mistral Vibe are straightforward, and the creator emphasizes running Surf Agent locally for better control.
The agent is designed to interact with multiple Reddit tabs, specifically targeting subreddits like Wall Street Bets, Stocks, and Cryptocurrency. Using voice commands and Surf Agent’s API, the agent navigates through these tabs, scrolls pages to gather context, and generates concise summaries of the sentiment and discussions. The creator highlights the speed and efficiency of Mistral 3.5 on Vibe, noting that the model is well-suited for this task without requiring a larger, slower model. They also incorporate a timestamp to ensure the agent focuses on recent posts, maintaining relevance in the research.
After the initial test run, the creator focuses on optimizing the workflow by turning it into a reusable skill called “Reddit Pulse.” This skill automates the process of browsing multiple subreddits in parallel, extracting sentiment categorized as long, flat, or short, and producing a concise report on the most discussed assets. The skill is designed to speed up future research sessions by leveraging the learnings and code generated during the first run, enabling faster and more reliable execution in subsequent uses.
The creator tests the skill, noting improvements in speed and reliability compared to the initial run. They troubleshoot minor errors and update the skill accordingly, demonstrating an iterative approach to refining the agent. Additionally, they extend the research capability by integrating X.com (formerly Twitter) to gather further sentiment data on specific stocks like RGTI. This multi-source approach enriches the research output, providing a more comprehensive view for AI trading decisions.
In conclusion, the creator expresses satisfaction with the performance and speed of Mistral Vibe combined with Surf Agent for building a specialized AI research agent. They encourage viewers to try out Mistral Vibe, highlighting its ease of installation and use. The video serves as a practical guide for setting up a browser-based AI agent for real-time sentiment analysis, with potential applications in trading and other research workflows. The creator thanks Mistral for sponsoring the video and invites viewers to explore similar setups for their own projects.