In the video, the presenter tests Manus, a general AI agent, by logging into social media, creating a presentation on anthropic MCP servers, and analyzing a CSV file for pricing information, showcasing its capabilities in drafting content and generating visual reports. Overall, the presenter expresses a positive impression of Manus, highlighting its potential and encouraging viewers to explore the tool as it continues to develop.
In the video, the presenter explores Manus, a general AI agent, sharing their first impressions and testing its capabilities. They have early access to the tool and plan to conduct several tests, including logging into social media, researching and drafting a tweet, creating a presentation on anthropic MCP servers, and analyzing a CSV file to generate graphs. The presenter emphasizes that their access is limited, so they aim to keep the tests concise while showcasing the AI’s functionality.
The first test involves logging into X.com (formerly Twitter) and asking Manus to research and draft a tweet about “vibe coding.” The AI successfully logs in and begins to gather information from various sources, compiling a draft tweet based on its research. The presenter notes that while Manus does not post directly without user confirmation, it can draft the tweet and guide the user through the posting process. Ultimately, the AI successfully posts the tweet after some back-and-forth, demonstrating its ability to interact with social media platforms.
Next, the presenter shifts focus to creating a presentation on anthropic MCP servers. Manus is tasked with researching the topic, compiling information, and generating slides that include relevant images. The AI navigates through various resources, creating an outline and gathering images for the presentation. Although there are minor hiccups, such as delays in finding images, Manus ultimately produces a presentation that covers the key components of MCP servers, showcasing its ability to synthesize information and create structured content.
The final test involves uploading a CSV file containing API pricing information from various providers. Manus is instructed to analyze the data and create an overview with graphs comparing input and output token prices. The AI successfully browses the provided URLs to gather pricing information, although it encounters challenges with certain sites due to security measures. Despite these obstacles, Manus generates a report with visual graphs that effectively compare the pricing of different models, demonstrating its analytical capabilities.
Overall, the presenter expresses a positive impression of Manus, highlighting its potential as a useful AI tool for various tasks. They acknowledge that the product is still in early testing stages and that improvements are expected over time. The video concludes with the presenter encouraging viewers to explore Manus, noting that there is a waitlist for access. They reflect on the incremental advancements in AI technology and express excitement about the future developments in this field.