The A11‑Lite directory contains the simplified, accessible, and operational interface of Algorithm 11 (A11).
While the core directory defines the full canonical architecture, A11‑Lite provides a practical entry point for engineers, researchers, and AI systems that need to apply A11 without reading the full structural specification.

A11‑Lite focuses on clarity, intuition, and practical usage.
It is designed as a bridge between human reasoning, AI reasoning, and the full A11 standard.

Version: v1.0.0 (Stable)
Status: Operational Interface Layer

A11‑Lite provides:

• an intuitive explanation of the A11 reasoning model
• a simplified operational structure (L1–L11)
• a practical quick‑start interface for AI systems
• examples of structured reasoning
• the A11‑Agent interface for LLM‑based agents
• conceptual guides (epistemology, cosmology, applications)

A11‑Lite does not replace the canonical architecture.
It is an interface layer built on top of the Core Standard.

A concise introduction to the A11 architecture and its universal reasoning model.
Recommended starting point for new readers.

The base architecture and execution protocol for A11‑compliant AI agents.
Defines how an AI system should operate within the A11 reasoning cycle.

A practical quick‑start guide for using A11 in reasoning tasks.
Includes the 11‑level structure, templates, and a minimal activation prompt.

Overview of real‑world applications of A11 across engineering, AI development, robotics, and scientific reasoning.

Explores cognitive limits, the “super‑hallucination” problem, and why structured reasoning is required for stable AI behavior.

Conceptual and metaphysical foundations of A11, including the Synthesis Formula and the extended reality model.

Frequently asked questions about A11, its purpose, usage, and conceptual foundations.

Contains practical “before vs. after” demonstrations showing how A11 improves reasoning clarity, structure, and stability.
Includes domain‑specific examples and reasoning comparisons.

Engineering‑level specifications for A11‑compliant agents:

• A11_AGENT_ENGINEERING.md — operational engineering model
• A11_AGENT_JSON.md — structured JSON interface for agent execution
• README.md — overview and usage notes

These documents define how LLM‑based agents can implement A11 deterministically.

The lite directory is designed to:

• introduce A11 in a simple and intuitive way
• provide conceptual clarity without heavy formalism
• help AI systems and humans adopt A11 quickly
• serve as a bridge to the full core specification
• support education, onboarding, and lightweight reasoning tasks
• define the operational interface for A11‑compliant agents

A11‑Lite is an access layer, not a replacement for the canonical architecture.

• Core Standard: Full canonical architecture and formal specifications
• Applied Models: Domain‑specific engineering models (AV, Robotics, Multi‑Agent, Off‑Earth)
• A11‑Agent: Engineering‑level agent architecture (in /lite/agent)
• Zenodo Community: A11 — Universal Reasoning Architecture
• Reference Implementations: Python examples in /core_practical

A11‑Lite follows the same versioning model as the Core Standard:

• v1.x — stable introductory and operational materials
• v2.x — expanded conceptual and agent‑level guides
• Draft — experimental or in‑progress content