Property Listings AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent Listing System
BOFU: Production LangGraph with Router → Specialized Agents → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls MLS tools via Model Context Protocol - see real tool execution
Automation Task
User query → LLM decides tool needed → Calls get_comps() → Returns formatted comp analysis
Terminal ready. Run simulation to begin.
RAG-Based Property Search
MOFU: Search 1000+ property listings with vector similarity
Search Query
"Semantic Buyer Preference Search"
Embed buyer query → Search vectors (cosine similarity > 0.75) → Retrieve top 10 listings → LLM ranks by fit + generates summary
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool Listing Orchestration
MOFU: Daily automation - MLS sync + market analysis + content generation
ROI Analysis
Orchestrator calls: MLS_Sync(50_listings) → Comp_Analysis(changes) → Content_Generator(updates) → Report_Generator(digest) → Alert_Tool(team)
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production Listing System?
We'll build your custom system: MCP tools (TOFU) → RAG search (MOFU) → Multi-tool automation (MOFU) → Multi-agent orchestration (BOFU). From demos to deployment in 8 weeks. Handles luxury homes, starter properties, commercial listings - adapts routing based on complexity.
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