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From: "google-labs-jules[bot]"
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Date: Tue, 5 May 2026 05:17:04 +0000
Subject: [PATCH] =?UTF-8?q?=F0=9F=8E=A8=20Palette:=20[UX=20improvement]=20?=
 =?UTF-8?q?Enhance=20README=20accessibility=20and=20visualization?=
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- Improved badge alt-text for better screen reader support
- Added a [!CAUTION] alert for experimental status clarity
- Added a Mermaid architecture diagram to visualize system orchestration
- Recorded UX learnings in Palette's journal

Co-authored-by: igor-holt <125706350+igor-holt@users.noreply.github.com>
---
 .Jules/palette.md |  5 +++++
 README.md         | 37 +++++++++++++++++++++++++++++++++++--
 2 files changed, 40 insertions(+), 2 deletions(-)

diff --git a/.Jules/palette.md b/.Jules/palette.md
index fecc08d..c6f94ec 100644
--- a/.Jules/palette.md
+++ b/.Jules/palette.md
@@ -6,3 +6,8 @@ This journal contains critical UX/accessibility learnings discovered during the
 **Learning:** For infrastructure or backend projects without a functional frontend, the `README.md` serves as the primary User Experience (DX/UX). In these cases, micro-UX improvements shift from ARIA labels to scannability, clarity of project status, and informative (non-redundant) feature lists.
 
 **Action:** Treat the `README.md` as the landing page. Use visual status indicators (badges), scannable bullet points with representative emojis, and ensure that headers provide a clear path for the user to understand the project's utility and maturity.
+
+## 2026-05-19 - Visualizing System Mental Models
+**Learning:** For infrastructure projects, technical architecture diagrams (e.g., Mermaid) are high-impact UX improvements. They allow users to quickly grasp the relationship between complex layers (like Bare-Metal and Kubernetes) which is often difficult to communicate through text alone.
+
+**Action:** When a project involves multi-layered orchestration or hardware-to-software bridging, prioritize adding a Mermaid diagram with clear visual hierarchies (using subgraphs and styles) to help users build a correct mental model.
diff --git a/README.md b/README.md
index 80d6c39..b41b696 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,10 @@
 # ⚖️ arbiter
 
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-![Status: Experimental](https://img.shields.io/badge/Status-Experimental-orange)
+[![License: MIT - Open source software license](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+![Project Status: Experimental - Not recommended for production use](https://img.shields.io/badge/Status-Experimental-orange)
+
+> [!CAUTION]
+> This project is currently **Experimental** and is not recommended for production use.
 
 Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM pinning) with quantum-accelerated Kubernetes scheduling.
 
@@ -16,6 +19,36 @@ Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM
 - ⚛️ **Next-Gen Scheduling**: Leverages quantum-accelerated algorithms for complex Kubernetes workloads.
 - ⚖️ **Unified Orchestration**: A single control plane for both hardware and cluster-level operations.
 
+## 🏗️ Architecture
+
+`arbiter` operates as a bridge between the physical hardware layer and the cloud-native orchestration layer.
+
+```mermaid
+graph TD
+    subgraph CloudNative [Cloud Native Layer]
+        K8s[Kubernetes Cluster]
+        Workloads[AI/ML Workloads]
+    end
+
+    subgraph Orchestration [Orchestration Layer]
+        Arbiter((Arbiter Core))
+        Scheduler[Quantum-Accelerated Scheduler]
+    end
+
+    subgraph Infrastructure [Infrastructure Layer]
+        BareMetal[Bare-Metal Hardware]
+        vGPU[Virtualized GPU / aSHARD]
+    end
+
+    Workloads --> K8s
+    K8s <--> Scheduler
+    Scheduler <--> Arbiter
+    Arbiter <--> vGPU
+    vGPU --> BareMetal
+
+    style Arbiter fill:#f96,stroke-width:4px
+```
+
 ## ⚖️ License
 
 This project is licensed under the [MIT License](LICENSE).