When agents learn to "operate autonomously," where are the boundaries of collaboration?
Introduction: The Evolution from "Tool" to "Partner"
In today’s explosion of AI technology, most agents remain at the "one question, one answer" level—they can write code, perform analysis, or generate content, but they always require humans to issue step-by-step instructions. However, real-world complex tasks are never single-threaded. A market research project may require simultaneous data cleaning, trend forecasting, and report writing; a product development project often involves cycles of requirement analysis, code generation, and testing validation...
The Xpert Project was born to break the shackles of this "human command chain." It enables multiple agents to function like a well-trained digital team, autonomously planning tasks, sharing knowledge, and executing collaboratively—while humans only need to define the goal and witness the miracle of intelligent collaboration.

Why is this a milestone for "autonomously operating agents"?
1. From "Solo Combat" to "Legion Collaboration"
Traditional AI tools are like independent "expert consultants," while the Xpert Project builds an agent ecosystem network:
- Role Division: Assigns clear responsibilities to different agents (e.g., "Data Analyst," "Reviewer," "Execution Engine").
- Context Sharing: All members access the same knowledge base in real-time (uploaded files, tool outputs, historical dialogues).
- Autonomous Negotiation: Agents can verify results, supplement information, or trigger subtasks among themselves.
2. Two Modes Redefining "Human-Machine Collaboration"
- Exploration Mode: The AI acts like an agile "explorer," quickly iterating and dynamically adjusting paths.
- Planning Mode: The AI transforms into a "project manager," outlining steps first and then advancing stage by stage.
- Example: When developing a weather forecast mini-app, the AI strictly follows the process of "requirement confirmation → technology selection → coding → testing → deployment."
3. "Infinite Possibilities" of Tool Integration
The Xpert Project not only connects agents but also integrates external toolchains:
- MCP Tools: Directly calls enterprise proprietary systems (e.g., CRM, ERP, third-party workflows, and knowledge bases).
- Built-in Tools: Platform-provided tools like the ChatBI toolset, metric management tools, etc.
- Custom APIs: Connects to private data sources or industry-specific models.

Real-World Case Study: Intelligent Collaboration for In-Depth Analysis Reports
—Combining "Deep Research Expert" + "Custom Report Generator"
Scenario Demand
A consulting firm needs to complete a Global AI Ethics Governance In-Depth Report within 48 hours, covering policy comparisons, technical patent analysis, and risk assessments.
Implementation Process
- Project Creation: Select Planning Mode and upload the consulting report template.
- Agent Collaboration:
- Deep Research Expert:
▶ Automatically retrieves 1,200+ documents/patents/policies → Generates core arguments and conflict maps. - Custom Report Generator:
▶ Integrates data according to the template → Generates 18 professional charts in bulk → Outputs in three formats (PDF/PPT/web version).
- Deep Research Expert:
Key Results
- Efficiency: Reduced from 5 people over 3 days to 1 person in 4 hours (approximately 35x efficiency improvement).
- Depth: Significantly increased analysis coverage and improved detection of hidden contradictions.
- Reusability: Automatically archives report documents during the process, enabling reuse in projects.

"Agent collaboration doesn’t replace humans; it allows us to focus on value-driven decisions rather than information drudgery."
Start Now and Become One of the First "Agent Commanders"
Whether you want to:
- 🔥 Delegate repetitive tasks to an AI legion
- 🚀 Validate innovative ideas in 1/10th the time
- 🌐 Build seamless collaboration networks across regions and time zones
The Xpert Project is ready to be your "digital symphony conductor’s baton."
👉 Click to create your first project on the XpertAI platform
(Existing users can directly find the "Project" entry in the conversation interface)
"True intelligence lies not in answering a single question but in autonomously solving a class of problems."