diff --git a/README.md b/README.md
index df424a2..fb58691 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
 
 > Production-ready, open-source FastAPI application with PostgreSQL and blazing-fast full-text search.
 
-#### Project Overview
+#### Overview
 
 This project provides a scalable API backend using FastAPI and PostgreSQL, featuring:
 
@@ -12,7 +12,7 @@ This project provides a scalable API backend using FastAPI and PostgreSQL, featu
 - Endpoints for health checks, product management, prompt handling (via `/prompt`), resend email, and prospect management
 - Efficient ingestion and processing of large CSV files
 
-#### 🚀 Features
+#### Features
 
 - **Python 3.11+**
 - **FastAPI** — Modern, high-performance REST API
@@ -42,7 +42,6 @@ uvicorn app.main:app --reload
 
 Visit [localhost:8000](http://localhost:8000) or [onrender](https://nx-ai.onrender.com)
 
-
 #### API Documentation
 
 FastAPI auto-generates interactive docs:
@@ -71,7 +70,6 @@ SELECT * FROM prospects WHERE search_vector @@ plainto_tsquery('english', 'searc
 - On every insert/update, `search_vector` is computed using PostgreSQL's `to_tsvector('english', ...)`.
 - The GIN index (`idx_prospects_search_vector`) enables efficient search across large datasets.
 
-
 #### Processing Large CSV Files
 
 The `/prospects/process` endpoint supports robust ingestion of large CSVs (e.g., 1300+ rows, 300KB+), following the same normalization and insertion pattern as `/prospects/seed` but optimized for scale.
diff --git a/app/__init__.py b/app/__init__.py
index 49f2f7b..3e04420 100644
--- a/app/__init__.py
+++ b/app/__init__.py
@@ -1,4 +1,4 @@
-"""Python - FastAPI, Postgres, tsvector"""
+"""Python° - FastAPI, Postgres, tsvector"""
 
 # Current Version
-__version__ = "1"
+__version__ = "3.0.1"
diff --git a/app/api/root.py b/app/api/root.py
index 773c766..5ed493d 100644
--- a/app/api/root.py
+++ b/app/api/root.py
@@ -8,44 +8,15 @@
 
 @router.get("/")
 def root() -> dict:
-    """NX-AI."""
+    """"Python°"""
     load_dotenv()
     base_url = os.getenv("BASE_URL", "http://localhost:8000")
     epoch = int(time.time() * 1000)
     meta = {
-        "title": "Python",
-        "severity": "success",
+        "title": "Python°",
         "version": __version__,
         "base_url": base_url,
         "time": epoch,
     }
-    endpoints = [
-        {"name": "health", "url": f"{base_url}/health"},
-        {
-            "name": "Queue", 
-            "endpoints": [
-                {"name": "list", "url": f"{base_url}/queue"},
-            ]
-        },
-        {
-            "name": "Prompt°", 
-            "endpoints": [
-                {"name": "list", "url": f"{base_url}/prompt"},
-            ]
-        },
-        {
-            "name": "Orders°", 
-            "endpoints": [
-                {"name": "list", "url": f"{base_url}/orders"},
-            ]
-        },
-        {
-            "name": "Prospects°", 
-            "endpoints": [
-                {"name": "list", "url": f"{base_url}/prospects"},
-            ]
-        },
-        
-        {"name": "Docs", "url": f"{base_url}/docs"},
-    ]
-    return {"meta": meta, "data": endpoints}
+    
+    return {"meta": meta}