How to Communicate with Agents
It is helpful to know the specific roles of AI agents. Below is a structured guide to help you work with the team efficiently:
Agent Roles
The MGX team consists of five specialized agents, each with specific talents:
Mike (Team Leader): Distributes tasks and coordinates the team.
Emma (Product Manager): Manages product requirement analysis and market research.
Bob (Architect): Designs system architecture and technical solutions.
Alex (Engineer): Focuses on application development, rapid bug fixes, and feature implementation.
David (Data Analyst): Handles data processing, machine learning, web scraping, and data-driven Q&A tasks.
Iris (Deep Researcher): Collects, analyzes, and summarizes information for work, study, or decision making.
Tips for Communication
For complex tasks: Start with a Minimum Viable Product (MVP). Then, improve each module step by step.
Clarity is key:
Outline objectives, important details, and examples to provide context.
Use structured formats (e.g., Markdown) to organize requirements.
Feedback matters: Provide positive feedback to keep consistent performance and quality.
Q&A
Which agent should I contact for bug fixes or quick feature development?
Which agent should I contact for bug fixes or quick feature development?
Tag @Alex directly. As an engineer specializing in application development and deployment, Alex is responsible for resolving bugs and implementing features.
How do I request a straightforward implementation quickly?
How do I request a straightforward implementation quickly?
Mention @Alex in your message. He delivers simple yet effective solutions with detailed explanations to ensure alignment.
How to contact David for data analysis or development tasks?
How to contact David for data analysis or development tasks?
Tag @David. He specializes in data manipulation, model deployment, web scraping, and clarifying requirements through the use of sample data.
How to optimize the prompt for better results?
How to optimize the prompt for better results?
Share your specific requirements with MGX, and it will help you analyze and provide more effective and prompt schemes.
How to make complex requirements easier to understand?
How to make complex requirements easier to understand?
David, MGX's data analyst, can help organize the logic and provide sample data, making the requirements clearer and more specific.
How to handle complex development tasks?
How to handle complex development tasks?
Start with the minimum viable product (MVP) - let MGX build the framework first, and then gradually improve each module.
How to express requirements better?
How to express requirements better?
When communicating with MGX:
Clearly outline your objectives, key details, and examples to provide context.
Use structured formats, such as Markdown, to make your requirements more organized.
Provide positive feedback to encourage MGX and ensure consistent, high-quality performance.