Add project description in the readme file

README.md

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 # capstone_msagi
 
-Product Strategy Simulation
+Course-end Project: Product Strategy Simulation
+
+Multi-Agent Market Research and GTM Planning (n8n, MCP, and CrewAI)
+
+Description
+
+Overview 
+In this project, you will design and implement a multi-agent workflow system that automates market research and go-to-market (GTM) planning. The systems are implemented in n8n and CrewAI separately, but with similar functionality. The solution integrates four agents: 
+
+• Head Planner (orchestrator and documenter) 
+• Research Agent (finder) 
+• Analyst Agent (sense-maker) 
+• Strategy Agent (planner) 
+
+The workflow must orchestrate desk research, competitor analysis, and GTM plan drafting before exporting structured strategy documents to Google Docs. 
+
+Instructions 
+
+• Review the lessons and supporting materials on n8n workflows, MCP, and CrewAI 
+• Set up the required environment on the Ubuntu VM, including Node.js, n8n, and Python for CrewAI 
+• Execute the following steps: 
+
+Build the multi-agent orchestration with a Head Planner and three specialist agents with tools 
+Start the MCP server 
+Configure and connect the n8n workflow with the MCP  
+Implement CrewAI with defined agents, flows, and tools (MCP, SerpAPI) 
+• Test and debug each component individually (MCP tools with curl, n8n nodes with Execute Node, and CrewAI tasks end-to-end) 
+• Document the architecture, configuration steps, test runs, and error resolutions 
+• Submit the following: 
+
+Exported n8n workflow JSON file 
+CrewAI project files (UV structure) 
+Sample Google Doc output 
+CrewAI chatbot screenshots
+Documentation (README file) covering the architecture, setup, and testing notes