docs: add project business workflow

.cursor/rules/ai-agent-workflow.mdc

@@ -1,7 +1,7 @@
 ---
-description:
-globs:
-alwaysApply: false
+description: 
+globs: 
+alwaysApply: true
 ---
 # AI Agent Workflow
 

.cursor/rules/coding-standards.mdc

@@ -1,7 +1,7 @@
 ---
 description: 
 globs: 
-alwaysApply: false
+alwaysApply: true
 ---
 # Coding Standards
 

.cursor/rules/database-query-guidelines.mdc

@@ -1,7 +1,7 @@
 ---
-description:
-globs:
-alwaysApply: false
+description: 
+globs: 
+alwaysApply: true
 ---
 # Database Query Guidelines
 

.cursor/rules/project-business-workflow.mdc

@@ -0,0 +1,8 @@
+---
+description: 
+globs: 
+alwaysApply: true
+---
+project workflow:
+In this project we are developing the talk to your data feature(prompt to SQL). From the Gradio Chat window (app.py), the langchain_mcp_client is launched, the client responds to incoming requests using the langchain ai-agent and postgres_mcp_server tools. the return consists of 4 parts: 1-result/data, 2-detail explanation of the result, 3-sql query used, and 4-chart of this result (pie-chart, bar-chart)).  
+all these processes are reflected in the gradio chat window in a markdown format for the user. 

.cursor/rules/security-guidelines.mdc

@@ -1,7 +1,7 @@
 ---
-description:
-globs:
-alwaysApply: false
+description: 
+globs: 
+alwaysApply: true
 ---
 # Security Guidelines
 

.cursor/rules/technical-architecture.mdc

@@ -1,7 +1,7 @@
 ---
-description:
-globs:
-alwaysApply: false
+description: 
+globs: 
+alwaysApply: true
 ---
 # Technical Architecture
 

.cursor/rules/visualization-guidelines.mdc

@@ -1,7 +1,7 @@
 ---
-description:
-globs:
-alwaysApply: false
+description: 
+globs: 
+alwaysApply: true
 ---
 # Visualization Guidelines