Real Estate Investment Analysis AI
See 4 architectures solve real problems: Multi-Agent → MCP → RAG → Multi-Tool
Advanced Multi-Agent Investment System
BOFU: Production LangGraph with Router → Market Analyzer + Property Evaluator + Risk Assessor → Portfolio Optimizer
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls real estate tools via Model Context Protocol - see property data retrieval in action
Automation Task
User query → LLM decides get_property_data() tool → Executes Zillow API call → Returns listing details
Terminal ready. Run simulation to begin.
RAG-Based Property Intelligence
MOFU: Search 100+ property documents, market reports, appraisals with vector similarity
Search Query
"Search Historical Deal Assumptions"
Embed query → Search vectors (100+ property docs) → Retrieve relevant chunks (5 Dallas multifamily deals from 2024) → Generate answer with citations
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool Portfolio Orchestration
MOFU: Multiple tools working together automatically - daily portfolio monitoring and reporting
ROI Analysis
Orchestrator calls: Zillow Scraper (25 properties) + CoStar Analyzer (5 markets) + Financial Modeler (update all ROI calcs) + Reporter (3 formats) + Alert System (route notifications) → All execute in parallel → Aggregate results → Deliver multi-format outputs
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production Real Estate Investment System?
We'll build your custom system: MCP tools (TOFU - try property analysis) → RAG search (MOFU - search 100+ deal docs) → Multi-tool (MOFU - daily portfolio monitoring) → Multi-agent (BOFU - autonomous investment analysis). From demos to deployment in 8 weeks.
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