Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 title: README
-emoji: 📉
+emoji: 📐
 colorFrom: purple
 colorTo: indigo
 sdk: static
@@ -8,55 +8,61 @@ pinned: false
 license: apache-2.0
 ---
 
-<h1 align="center">AISA — Agentic AI Systems Architecture</h1>
+<h1 align="center">AISA</h1>
+<h3 align="center">Agentic AI Systems Architecture</h3>
 
 <p align="center">
   <img 
     src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/U6a8h-tFQ1s_fqayvDznl.png" 
-    alt="Agentic AI Systems Architecture (AISA)" 
-    width="360"
+    alt="Agentic AI Systems Architecture (AISA)"
+    width="340"
   />
 </p>
 
 <p align="center">
-A unified reference architecture for designing, deploying, evaluating, and governing agentic AI systems.
+<b>A unified reference architecture for agentic AI systems.</b><br/>
+Design · Evaluation · Governance · Deployment
 </p>
 
 ---
 
-Recent advances in large language models have enabled **agentic AI systems** capable of autonomous reasoning, multi-step planning, tool use, and interaction with complex environments. However, many existing agentic systems are still developed in fragmented ways, lacking a unifying architectural foundation that integrates reasoning, infrastructure, evaluation, governance, and safety.
+### What is AISA?
 
-**AISA (Agentic AI Systems Architecture)** addresses this gap through a layered, implementation-neutral reference framework. It provides a coherent structure for agent design, tool execution, orchestration, continuous evaluation, deployment operations, and governance—enabling agentic systems that are reliable, scalable, and auditable by design.
-
-This organization hosts **reference specifications, architectural artifacts, evaluation resources, and example implementations** aligned with the AISA framework.
+AISA is an **implementation-neutral reference architecture** for building agentic AI systems.  
+It defines how reasoning, execution, infrastructure, evaluation, and governance interact to produce **reliable, scalable, and auditable agent behavior**.
 
 ---
 
-### Project Status
+### Scope
 
-- **Status:** Active development  
-- **Scope:** Reference architecture, specifications, evaluation artifacts, and example implementations  
-- **Audience:** Researchers, AI engineers, system architects, and practitioners building agentic AI systems  
+- 🧱 **Architecture:** Layered system design for agentic AI  
+- 🧪 **Evaluation:** Trajectory-level testing and monitoring  
+- 🛡️ **Governance:** Policy, auditability, and human oversight  
+- 🚀 **Adoption:** Learning-to-enterprise maturity roadmap  
 
 ---
 
-### How to Use AISA
+### How to Use
 
-- As a **design framework** for structuring agentic AI systems  
-- As an **evaluation lens** for identifying risks, gaps, and failure modes  
-- As a **learning roadmap** from single-agent prototypes to enterprise-scale deployments  
+- ✔️ Design agentic systems with clear separation of concerns  
+- ✔️ Evaluate safety, reliability, and system behavior  
+- ✔️ Scale from prototypes to enterprise deployments  
 
 ---
 
-### Quick Links
+### Documentation
 
-- 📐 **Architecture Overview**  
+- 📐 **Architecture**  
   https://huggingface.co/spaces/AISA-Framework/README/blob/main/ARCHITECTURE.md
 
 - 📜 **Cross-Layer Contracts**  
   https://huggingface.co/spaces/AISA-Framework/README/blob/main/CONTRACTS.md
 
-- 🧭 **Learning & Adoption Roadmap**  
+- 🧭 **Roadmap**  
   https://huggingface.co/spaces/AISA-Framework/README/blob/main/ROADMAP.md
 
----
+---
+
+<p align="center">
+<em>Status: Active development · License: Apache 2.0</em>
+</p>