With the rapid development of artificial intelligence technology, AI agents have become a potential driver for productivity transformation in the industry. However, the success rate of transitioning from proof of concept to actual implementation in production environments is not ideal. The root cause of failure often lies not in the capabilities of the underlying models, … Read more
Let’s analyze in detail the usage, workflow, and applicable scenarios of the core command <span>/multi-agent-workflow</span> in the <span>Claude-Code-Multi-Agent</span> project. <span>/multi-agent-workflow</span> Core Overview <span>/multi-agent-workflow</span> is the most powerful and complex command in this ecosystem. It is designed to handle large, complex projects requiring deep collaboration among multiple domain experts, such as: Building a complete full-stack application … Read more
Are AI Agents more reliable than humans in financial risk management? Recently, I noticed that the banking industry is undergoing an intelligent revolution, from ChatGPT to DeepSeek, and now to Manus. The wave of AI is evolving from general large models to AI Agents with autonomous decision-making capabilities. This change is significant; it is reshaping … Read more
1. BackgroundRecently, I have been learning some knowledge related to AI Agents. The purpose of writing this article is to clarify the context of the knowledge I have acquired, making it easier for deeper learning in the future.2. What is LLMLLM (Large Language Model) technology has developed rapidly in recent years, and there are now … Read more
1. Technological Breakthroughs and Architectural Evolution of AI Agents1. Technological Leap: An Efficiency Revolution from “Teaching Mode” to “Practical Training”The “learning method” of AI Agents has undergone a critical upgrade: early supervised fine-tuning (SFT) was like a teacher guiding students through problems, relying on manually labeled data for learning.Now, reinforcement feedback tuning (RFT) resembles athletes … Read more
If the birth of large language models equipped artificial intelligence with a “brain” capable of understanding the world, then the emergence of AI Agents has provided this brain with the “hands and feet” to transform the world. In 2025, we stand at a critical crossroads: the application paradigm of AI is shifting from passive “question-and-answer” … Read more
1. Global FPGA Market: European and American Giants Lead with 66% Gross Margin, while Chinese Companies Accelerate R&D with 77% Investment 2. Chip cooling startup Corintis completes $24 million Series A funding, Intel CEO Pat Gelsinger joins the board 3. GlobalFoundries partners with Zensemi to develop 40nm automotive chips 4. “Chip” Movement Shines | Jinghua … Read more
This article2953words Reading time approximately 7minutes Imagine this scenario: Late at night, a modern digital city (your company network) is quietly operating. Traditional security systems are like security guards standing in fixed booths, checking vehicles entering and exiting according to a manual. Suddenly, a group of “digital agents” wearing cloaks of invisibility and constantly changing … Read more
Imagine this: when asking an e-commerce customer service representative, “Why hasn’t my order been shipped yet?” the chatbot can generate a natural language response based on a large model, explaining the reasons for the logistics delay. However, to automatically check inventory, trigger reshipment processes, and inform the user, it must rely on the autonomous action … Read more
Introduction Using a diagram, a three-phase roadmap, and five key components, this article outlines the correct path for AI Agent development, guiding you from beginner to expert while avoiding common pitfalls.1. Why is 2025 the ‘Year of AI Agents’?1. It’s not a technical issue, but a cognitive one. According to a recent McKinsey report: 70% … Read more