How Manus AI Works: A Glimpse into Autonomous Intelligence

Manus AI introduces a new paradigm in AI-driven research. At its core is a highly autonomous AI agent system that operates with precision, adaptability, and independence. Here’s how Manus achieves this:

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Prompt-Based Task Execution

Manus begins its workflow with a simple prompt, which users provide to define the scope of the task. Whether the task involves analyzing trade disruptions or stock market movements, the AI agent interprets the requirement and formulates a detailed, actionable plan.

Dedicated Computing Environment

Each AI agent operates on a dedicated virtual computer. This unique feature allows users to monitor the agent’s activities in real time through a live-view interface. Users can observe the agent’s screen as it browses websites, collects data, and processes information, offering full transparency and control.

Web Access for Data Collection

The AI agent has the capability to access Google and other online resources, retrieving the latest information, research papers, and real-time data. This ensures that Manus AI is always working with the most up-to-date and relevant inputs.

Plan-Then-Execute Workflow

Before diving into tasks, the AI agent creates a comprehensive task plan. It identifies key objectives, organizes them into a logical sequence, and executes them step-by-step. This structured approach minimizes errors and ensures efficient use of computational resources.

Real-Time Data Analysis with Code

Manus AI doesn’t just collect data—it analyzes it in real time. The AI agent can write and execute code dynamically, enabling it to conduct advanced statistical analysis, generate visualizations, and uncover patterns. For example, during the analysis of the Hang Seng Index, the agent categorized stocks by performance and identified correlations within minutes.

Interactive Report Deployment

One of Manus AI’s standout features is its ability to convert findings into interactive, web-based reports. This capability allows users to share results with stakeholders in an intuitive and accessible format, bridging the gap between analysis and actionable insights.

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Experiment 1: Tariff Impact Analysis Using Manus AI

The first experiment demonstrated Manus AI's ability to analyze the economic and geopolitical implications of a hypothetical 145% tariff imposed by the U.S. on Hong Kong. By leveraging its advanced AI agent system, Manus efficiently broke down the complex task into structured steps, showcasing its ability to deliver actionable insights through a methodical approach.

Workflow Overview

1. Research Foundation:
   • The AI agent began by researching recent Trump administration tariffs, gathering context on previous trade policies and their rationale.
   • It collected trade data specific to Hong Kong’s interactions with both the U.S. and China, identifying primary industries and products that could be affected.
2. Impact Analysis:
   • Using historical precedents of similar tariffs, Manus analyzed the potential disruption to Hong Kong's trade, particularly in electronics, luxury goods, and toys.
   • The AI evaluated broader economic implications for the U.S., China, and Hong Kong, focusing on GDP, trade volumes, and sectoral vulnerabilities.
3. Geopolitical Considerations:
   • Manus investigated the potential strain on U.S.-China-Hong Kong relations, identifying risks to diplomatic and economic partnerships.
   • It analyzed how such a move could influence global supply chains and regional stability.
4. Financial Market Insights:
   • The AI agent assessed risks to financial markets, particularly real estate and stock markets, and evaluated potential asset-class impacts such as currency fluctuations and equity market volatility.
5. Output and Deployment:
   • Manus compiled its findings into a comprehensive report, which was then transformed into an interactive website. This platform featured an intuitive layout, allowing stakeholders to explore the insights in a user-friendly format.

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Result

Full Report

👉 https://dekaqsol.manus.space/

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Experiment 2: Hang Seng Index Volatility

In the second experiment, Manus AI tackled the challenge of understanding a record-breaking 13.22% drop in the Hang Seng Index. Key highlights of the AI agent’s performance include:

• Data Collection: Retrieving real-time market data and historical performance metrics for the Hang Seng Index.
• Sector Analysis: Identifying which industries and stocks showed resilience versus volatility during the downturn.
• Pattern Recognition: Using code to uncover correlations between market drivers by reanalyzing and regrouping all stocks into new categories, rather than relying on pre-existing sector classifications. The analysis aims to identify the varying resilience and other hidden factors of different stock groups and includes visual representations through graphs to illustrate these findings.
• Visualization: Generating graphs and charts to illustrate findings clearly, as seen in the images of the agent’s real-time analysis.

Result

Full Report

👉 https://yavpenlf.manus.space/

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Conclusion

Manus AI is more than just a tool—it’s a research partner that empowers users to tackle time-consuming problems with ease. By combining autonomous planning, real-time data collection, and real-time code-to-analytics, Manus redefines what’s possible in AI-driven research. Its ability to deploy results into interactive web reports further enhances its utility, making it a valuable asset for professionals across industries.

That said, while Manus AI excels as an AI agent with an impressive combination of tools for data collection and analysis, it has its limitations. In scientific research and advanced coding tasks, there are other AI tools available that outperform Manus AI in terms of precision and depth. This highlights the importance of choosing the right AI tool for specific needs, leveraging Manus AI for its strengths while acknowledging its boundaries in specialized domains.



Remarks:

The original contents was created at threads:

https://www.threads.com/@claudiassin/post/DIJlHjGT1RE?xmt=AQGzODsCyBZKkM7baM2fSszUR7ugcjeHj7KbV2IdSIhz-A

https://www.threads.com/@claudiassin/post/DITGBR-vxwg?xmt=AQGzODsCyBZKkM7baM2fSszUR7ugcjeHj7KbV2IdSIhz-A

Refined and polished, this longer blog post was completed on May 1, 2025