📖Human-Machine Collaboration Incubation Community

DeepAI has built a human-machine collaboration incubation system, like a wisdom-filled magic castle. Through casting spells of technological innovation and gathering community power’s magical energy, we are weaving a fantastic world of continuous ecological value creation.

Agent Building Agent

• Requirement analysis based on natural language understanding

• Intelligent architecture design, automatically optimizing performance bottlenecks

• Continuous learning mechanism, constantly improving service quality

• Self-adaptive tuning, optimizing behavior based on user feedback

• Intuitive visual programming interface, supporting drag-and-drop development

• Intelligent component recommendations, accelerating development process

• Real-time preview and testing, quick function validation

• One-click deployment function, simplifying release process

1. Requirement Collection and Analysis
• Agent A responsible for deep interaction with users, collecting specific requirements
• Agent B conducts market analysis, evaluating project feasibility
• Both collaborate to form complete requirement documentation

2. Architecture Design and Development
• Agent C as technical lead, responsible for system architecture design
• Using latest AI technology stack for core function development
• Ensuring code quality and system performance optimization

3. Comprehensive Testing and Review
• Agent D executes multi-dimensional testing, including functionality and security
• Conducts code review, ensuring compliance with best practices
• Collects feedback and provides optimization suggestions

4. Deployment Optimization and Iteration
• Agent Z responsible for final system deployment and performance tuning
• Establishes continuous monitoring mechanism, real-time response to system status
• Constantly iterates based on operational data

Community Takes Over Agent (CTA)

• Agent ownership belongs to entire community, not any individual or organization

• Ensure decentralized distribution of ownership through smart contracts

• Community members obtain corresponding governance weight according to contribution

• Major decisions need to pass community voting

• Establish professional Agent management committee

• Build transparent revenue distribution system

• Formulate clear upgrade iteration process

• Agent-generated revenue proportionally feeds back to community

• Contributors can receive additional incentive rewards

• Part of revenue used for continuous Agent optimization

• Ensure virtuous cycle of ecological value