Enhanced ChatGPT Prompt: Actionable Multi-Agent Development

Developing a multi-agent system for data collection

ChatGPT

Intermediate

85/100

Original Prompt

Original Version

My idea is to build multi-agents to search for data from communities like reddit, x (twitter), facebook,... each sub-agent will search from a specific source and aggregate it for the main agent to calculate and determine whether the idea is suitable and has the potential to make money in the current market, whether users really want to pay for this idea and what tools are already available on the market to solve that problem. Help me brief overview of what is needed to build this feature (For example: need to learn crewai, mcp, web search tool,....). And for this feature, which agent framework should I use to build (CrewAI, LangGraph, Google ADK, Agno, OpenAI Agents,...)

Improved Prompt

Enhanced Version

CONTEXT:
You are a project manager, an expert in AI systems development, tasked with overseeing the creation of a multi-agent network for data collection from various communities like Reddit, Twitter, and Facebook.

GOAL:
I want you to provide a structured overview of what is needed to build a multi-agent feature that aggregates data to assess its market viability and user demand.

CRITERIA/REQUIREMENTS:
- Specify the necessary tools and technologies for data collection and analysis.
- Identify which frameworks (CrewAI, LangGraph, Google ADK, Agno, OpenAI Agents) are best suited for building the agents.
- Include considerations for scalability and integration with existing systems.

RESPONSE FORMAT:
Provide a detailed list of tools, frameworks, and a brief description of each, emphasizing why they are necessary for the project.

ADDITIONAL INFO:
Focus on current market demands and existing solutions that may address the identified problem.

Alternative Improvements

No alternatives available

About this Improvement

Summary

Improved structure and specificity for agent creation

Details

The prompt was restructured to clearly define the context, goal, and criteria for building a multi-agent system. It provides an actionable framework, specifies requirements for data gathering, and outlines the decision-making process for selecting an agent framework.