A next-generation collaborative development framework maximizing synergy between human intuition and AI diversity.
The HAO (Human AI Orchestra) engine transforms the role of a human developer from a "coder" to a "conductor," orchestrating multiple Large Language Models (LLMs) to achieve creative and robust engineering results. This repository contains the core methodology, technical specifications, and actual project outputs generated using this framework.
Note: This repository serves as both a methodology archive and a portfolio of the "Proof of Concept" projects executed via HAO.
-
HAO Technology Specification (Developer Manual)
- The core manual detailing the 11-Step Collaborative Workflow.
- Contains specific prompt examples for Idea Generation, Systematization, Evaluation, and Decision Making.
- Read this to understand how to use HAO.
-
- Technical guide for Gantree (Tree-based System Design Notation) and PPR (Purposeful-Programming Revolution DSL).
- These are the tools used in Steps 6-11 of the HAO workflow.
This repository is organized as follows:
d:\SynProject\Engine\HAO\
├── HAO_Specification.md # 📘 The Main Developer Manual (START HERE)
├── PPR_Gantree_V4.md # 📙 Guide for Gantree & PPR Syntax
├── README.md # 📄 This File
├── LICENSE # ⚖️ MIT License
│
├── [Project Artifacts]
├── Dancing_with_Noise/ # 🛡️ Project 1: Sentinel Stack (Cyber-Immune System)
│ ├── 0_Dancing_with_Noise.md
│ ├── 1_Systematization_Collection.md
│ ├── 2_Investment_Evaluation.md
│ ├── 3_Selection_Process.md
│ └── 4_Final_Decision.md
│
├── Dancing_with_Time/ # ⏳ Project 2: TQC Platform (Temporal Quantum Computing)
│ ├── 0_Dancing_with_Time.md
│ ├── 1_Systematization_Collection.md
│ ├── 2_Investment_Evaluation.md
│ ├── 3_Selection_Process.md
│ └── 4_Final_Decision.md
│
└── [Archives]
├── Gantre_sample/ # 🌳 Real-world examples of Gantree usage
├── Original_Korean_Source/ # 🇰🇷 Original Korean Source Files (Proof of Authenticity)
└── paper/ # 📝 Drafts and resources for academic publication
An infrastructure immune system that turns "noise" (errors/anomalies) into a resource for predictive defense.
- Outcome: A 4-layer architecture including
Sentinel Detect,Adapt,Redteam, andLive.
A quantum computing platform that treats "time" as an active computational resource to overcome hardware limitations.
- Outcome: A "Software-First" TQC platform integrating
TLQP(Time Layered) andTMQP(Time Multiplexed) architectures.
This project is licensed under the MIT License. Copyright (c) 2026 Jungwook.
