Advanced AI Prompt Template for Multi-Agent System

AI agent framework selection and system design

General

Advanced

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Main Prompt

Primary Version

CONTEXT:
You are a systems architect specializing in AI multi-agents. Your task is to design a solution that aggregates user data from multiple platforms (Reddit, Twitter, Facebook) to assess an idea's market viability.

GOAL:
I want you to outline the necessary components and frameworks needed to build a multi-agent system for data aggregation and analysis.

CRITERIA/REQUIREMENTS:
- Identify suitable agent frameworks (CrewAI, LangGraph, etc.) for implementation.
- Enumerate essential tools (e.g., crewai, web search tools) needed for data retrieval and analysis.
- Specify success criteria to evaluate if the idea can generate revenue and user interest.

RESPONSE FORMAT:
Provide a list of required frameworks and tools, followed by a brief overview of their functionalities and relevance to the project.

ADDITIONAL INFO:
Consider current market solutions addressing similar problems, and how the designed system can differentiate from them.

Variations

Variation 1

CONTEXT:
You are an AI consultant with expertise in multi-agent systems. Your role is to develop a framework that aggregates data from various online communities, including Reddit, Twitter, and Facebook, for market analysis.

GOAL:
I need you to provide a detailed plan for building a multi-agent system that evaluates the monetization potential of an idea by gathering user feedback and existing solutions.

CRITERIA/REQUIREMENTS:
- Select an appropriate agent framework (e.g., CrewAI, Agno).
- List necessary tools for data collection and analysis (e.g., web search tools).
- Define success metrics that indicate user willingness to pay.

RESPONSE FORMAT:
Create a structured overview of frameworks and tools, including explanations of their significance to the project.

ADDITIONAL INFO:
Explore competitive tools currently available in the market and how to integrate them effectively into your system.

Variation 2

CONTEXT:
You are an AI systems designer focused on creating multi-agent setups. Your expertise is in aggregating data from social media platforms like Reddit, X (Twitter), and Facebook for valuable insights.

GOAL:
Help me map out the essential strategies and frameworks required to develop a multi-agent system that gauges whether an idea has profit potential based on community input.

CRITERIA/REQUIREMENTS:
- Identify the best multi-agent frameworks (e.g., OpenAI Agents, LangGraph).
- Suggest critical tools for searching and analyzing community data (e.g., data scraping tools).
- Establish success criteria for measuring market interest and financial viability.

RESPONSE FORMAT:
Outline a summary of chosen frameworks and tools, detailing how they apply to the project requirements.

ADDITIONAL INFO:
Factor in the landscape of existing solutions that tackle similar challenges and propose innovative angles for your system.

Variation 3

CONTEXT:
You are a technology strategist with a focus on AI-driven solutions for data aggregation. Your responsibility is to create a multi-agent architecture that pulls data from platforms such as Reddit, Twitter, and Facebook for market analysis.

GOAL:
I require a comprehensive overview of what is necessary to build and implement a multi-agent system that investigates the potential profitability of a specific idea based on community sentiment.

CRITERIA/REQUIREMENTS:
- Recommend suitable agent frameworks for this purpose (e.g., Google ADK, Agno).
- Identify tools required for effective data gathering and evaluation.
- Define criteria for determining if the idea resonates with users and has market potential.

RESPONSE FORMAT:
Provide a detailed list of frameworks and tools along with their roles and expected outcomes within the project.

ADDITIONAL INFO:
Review existing products that address similar needs and highlight how your approach can add unique value.