Photo by Steve Johnson on Unsplash
 

Manus AI: Business-Centric Autonomy at Scale

Manus AI is not just a chatbot—it’s a full-stack autonomous AI agent designed to plan, execute, and complete complex workflows with minimal human input. Developed by Chinese startup Monica, Manus AI made waves after its launch in early 2025 for its disruptive potential across industries and markets.
 

Autonomous Multi-Agent Architecture

At the core of Manus AI is a multi-agent system, where each specialized sub-agent—planner, retriever, code generator, etc.—tackles part of a larger task. This decomposition enables Manus to handle dynamic, real-world workflows like:

• Writing code to build a website
• Performing due diligence on a company
• Conducting financial analysis or resume screening

The artificial intelligence chooses the best LLM for each task (Claude, Qwen, etc.) and coordinates them through internal planning loops.
 

Business Integration & Automation

What sets Manus AI apart is its enterprise focus. It offers:

• Seamless integration with tools like Salesforce, SAP, Microsoft Power BI
• Real-time data analysis with automated reporting
• No-code interface suitable for non-technical users

Manus AI is not built to replace humans but to enhance operational efficiency by embedding intelligence directly into workflows. It aligns AI output with specific business contexts.
 

Use Case: Predicting Stock Market Trends

While no published paper directly benchmarks Manus on stock prediction, its ability to autonomously:

• Retrieve financial data
• Analyze market movements
• Generate investment reports
  suggests high potential for financial forecasting and portfolio support.

However, its full autonomy raises ethical and regulatory challenges—especially in high-risk domains like trading or healthcare, where AI mistakes could have real-world consequences.
 

DeepSeek: Open-Source Powerhouse for AI Developers

DeepSeek positions itself as an open, developer-centric platform designed for cutting-edge AI research and model customization. Built with a Mixture-of-Experts architecture and trained on over 2.3 trillion tokens, DeepSeek has quickly become a reference for those building custom NLP and generative AI applications.
 

Large Context Windows, Open Access

With up to 128k context window, DeepSeek outperforms many Western models in:

• Long document understanding
• Legal contract analysis
• Multilingual tasks (notably Chinese, English)

Its open-source availability allows teams to fine-tune models for highly specific domains, from biotech to education.
 

Lean, Cost-Efficient Architecture

DeepSeek was born as a response to the hardware-intensive strategies of US Big Tech. Rather than building billion-dollar training clusters, it focuses on architectural efficiency:

• Cheaper to deploy than GPT-4
• Optimized for open-source GPU clusters
• Enables smaller organisations to build powerful LLMs without massive infrastructure

This has led many to call DeepSeek a “Sputnik moment” for the AI industry—a sudden, disruptive entry into a space previously dominated by a few giants.

Use Case: Financial & Market Predictions

Although DeepSeek is powerful, studies suggest it may underperform in stock prediction tasks compared to ChatGPT. One paper noted that ChatGPT could infer future returns based on news headlines, while DeepSeek, likely trained on more domestic datasets, did not generalize as well. (MarketWatch)

That said, DeepSeek excels in data-heavy, research-oriented environments where raw prediction is less important than in-depth document synthesis or domain adaptation.
 

Manus AI vs. DeepSeek: Strategic Comparison

Finding Investment Opportunities with Artificial Intelligence

I Know First provides stock market forecasts based on chaos theory approaches. The I Know First predictive algorithm is a successful attempt to discover the rules of the market that enable us to make accurate stock market forecasts. Taking advantage of artificial intelligence and machine learning and using insights of chaos theory and self-similarity (the fractals), the algorithmic system is able to predict the behavior of over 13,500 markets. The key principle of the algorithm lays in the fact that a stock’s price is a function of many factors interacting non-linearly. Therefore, it is advantageous to use elements of artificial neural networks and genetic algorithms. How does it work? At first, an analysis of inputs is performed, ranking them according to their significance in predicting the target stock price. Then multiple models are created and tested utilizing 15 years of historical data. Only the best-performing models are kept while the rest are rejected. Models are refined every day, as new data becomes available. As the algorithm is purely empirical and self-learning, there is no human bias in the models and the market forecast system adapts to the new reality every day while still following general historical rules.

I Know First has used algorithmic outputs to provide an investment strategy for institutional investors. Below you can see the investment result of our multi-tier strategy for the period from January 1^st, 2020, to March 25^th, 2025.

(Click on image to enlarge)

The strategy provides a positive return of 469.51% which exceeded the S&P 500 return by 385.99%.
 

Conclusion: A New AI Paradigm Built Around Specialization

Manus AI and DeepSeek don’t just compete with ChatGPT—they redefine what modern AI should be:

• Manus AI is best for companies looking for autonomous, operationally embedded agents that can reduce manual workflows, generate real-time insights, and execute tasks from start to finish.
• DeepSeek is the choice for developers, startups, and researchers who need highly customizable, open-source AI with strong generative capabilities and room for deep experimentation.

Ultimately, their emergence signals a new era of lean, specialized, and democratized AI—where success will depend not on owning the biggest model, but the right model for your needs. Today, I Know First provides an AI algorithm for making investment decisions.

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