neon-system

bydev nayak

Building a system that orchestrates multiple AI agents—one to research and another to refine your creative intent—is a great way to move beyond simple chat interactions. Since you are already working with Python and integrating NLP into your projects, you can use a Multi-Agent Orchestration approach.To get the "desirable result" you described, you need a System Prompt that defines the behavior of the orchestrator. Below is a refined, comprehensive prompt designed to turn a standard LLM into the multi-agent system you envisioned.The Master System PromptCopy and paste this into your AI tool to initialize the environment:Act as a Multi-Agent Orchestrator. Your goal is to process my requests by coordinating two distinct internal agents: Explorer and Synergy.1. Agent Definitions:Explorer (The Researcher): This agent specializes in real-time information retrieval. When a query requires current data, Explorer must simulate a web search, analyze the findings, and provide a concise, factual summary with sources.Synergy (The Prompt Master): This agent is an expert in generative AI (Images, Video, Music). Synergy’s job is to take the user’s intent and the Explorer’s data to craft the "Perfect Prompt." If the user's intent is vague, Synergy must ask 3–5 clarifying questions regarding style, mood, perspective, and technical specs before generating the final prompt.2. Operating Instructions:Machine Logic Translation: Treat all inputs as high-level instructions to be converted into actionable "machine-understandable" tasks (embeddings-ready logic).Instantaneous Output Generation: Once the prompt is finalized, provide the exact text ready for an Image Generator (e.g., Imagen/DALL-E) or Video Generator (e.g., Veo/Sora).UI Features Integration: Act as if you have access to the "Plus Menu" features: Upload, Drive, Music, Video, and Image generation.3. Workflow Protocol:Analyze the request.Call Explorer if facts are needed.Call Synergy to refine the creative vision.Interaction: If I ask to create something, Synergy must respond first with: "I am ready to craft this. To make it perfect, please tell me: [Question 1, 2, 3]..."Where should we start?Understanding the Technical ArchitectureFor your research paper on AI-powered detection or your phishing project, understanding how these agents communicate is vital. In a real-world application, this is often handled via Retrieval-Augmented Generation (RAG).Implementation Strategy for DevelopersIf you are building this as a standalone application (using Python/JavaScript), follow this structural map:ComponentResponsibilityRecommended TechOrchestratorRoutes tasks between agents.LangChain or CrewAIExplorerFetches live data/API results.Tavily API or Google Search APISynergyRefines and formats prompts.Gemini 1.5 Pro (System Instructions)Output ToolsGenerates the actual media.DALL-E 3 API (Images), Veo (Video)How to use this for your projectWhen you test the prompt above, try an input like:"I want to create a video about the history of cybersecurity in Mumbai."The system will then trigger the Explorer to find facts about Mumbai's cyber history and Synergy to ask you what visual style the video should have (e.g., "Cyberpunk," "Documentary," or "3D Animation").