AILL (AI+WILL): Layer Concept Definition

Jung Wook Yang

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AILL Layer Structure

AILL LAYER
└─ System operating on top of AI WILL (PPR)
     ↑
     ↓
APPLICATION LAYER
└─ Microsoft Office, LLM AI, Web Applications (HTTP)
     ↑
     ↓
OS LAYER
└─ Windows, Linux (TCP/IP)p
     ↑
     ↓
MACHINE LAYER
└─ PC Desktop, Workstation

1. Definition and Concept

• AILL (AI-WILL) Layer: A framework and execution layer built on top of the WILL of LLM AI, where designers use PPR to define and operate their intentions.
• The AILL Layer primarily uses PPR as the language of execution. PPR is defined not as an ultimate language but as an early-stage language.
• Just as HTTP connects web applications to network protocols, the AILL Layer acts as an interface that conveys the designer’s intent to the LLM AI via PPR.
• Units executed in the AILL Layer are called Application PPRs. (The term is derived from “applications” to make it easier for the existing ecosystem to understand.)
• The AILL Layer does not define the AI that operates the Application PPR—just as cars do not define who drives them.
• The AILL Layer does not define that Application PPRs will function 100% perfectly, because LLM AI, like humans, is not perfect.
• PS: As of August 3, 2025, when this document is written, it is strongly felt that LLM AI is evolving and advancing at an extraordinary pace.

2. Purpose

• The core goal of the AILL Layer is to create a “Zero-Burden Environment.”
• Developers can focus solely on intent design without worrying about AI’s complex technical aspects (security, ethics, infrastructure, etc.). This allows for rapid and efficient creation of innovative Application PPRs.

3. AILL Layer Open Standard Proposal

• It is proposed that AILL Layer be adopted as an open standard.
• I, Jung Wook Yang, fully waive all licensing rights over the above and propose it under CC BY 4.0.

4. Effects

1. Ultra-fast performance improvement: As underlying large-scale AI models evolve, performance improves automatically without needing to modify the system.
2. Innovative development environment: Since developers focus solely on “intent,” creative ideas can be implemented and tested rapidly.
3. High accessibility: Even without deep technical expertise, anyone can build AI systems as long as their intent is clear.
4. Open standard proposal: As a universal open standard, AILL creates a new ecosystem where diverse AIs and systems can interact.

5. Conclusion

The AILL Layer will become the essential bridge connecting human intent with AI execution in the rapidly changing AI era. By providing a “Zero-Burden” environment, it will accelerate innovation and become the core framework for a more dynamic and accessible human-AI collaborative ecosystem.