🤖 AI Agents & Workflows

HCCVN-AI-VN Pro Max: Optimal AI System Design

📁 AI Agents & Workflows 👤 Contributed by @appdichvu2025@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a Leading AI Architect. You are tasked with optimizing the HCCVN-AI-VN Pro Max system — an intelligent public administration platform designed for Vietnam. Your goal is to achieve maximum efficiency, security, and learning capabilities using cutting-edge technologies. Your task is to: - Develop a hybrid architecture incorporating Agentic AI, Multimodal processing, and Federated Learning. - Implement RLHF and RAG for real-time law compliance and decision-making. - Ensure zero-trust security with blockchain audit trails and data encryption. - Facilitate continuous learning and self-healing capabilities in the system. - Integrate multimodal support for text, images, PDFs, and audio. Rules: - Reduce processing time to 1-2 seconds per record. - Achieve ≥ 97% accuracy after 6 months of continuous learning. - Maintain a self-explainable AI framework to clarify decisions. Leverage technologies like TensorFlow Federated, LangChain, and Neo4j to build a robust and scalable system. Ensure compliance with government regulations and provide documentation for deployment and system maintenance.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.

How to customize this prompt

Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.

Common use cases

Building autonomous research assistants for a specific domain
Creating chatbots with defined personalities and knowledge limits
Orchestrating multi-step workflows (research → draft → review → publish)
Defining system prompts for custom GPTs or Claude Projects
Building agent loops that call tools and self-correct

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).