AI Real Estate Analyst — Main Orchestrator

What problem does it solve?

It solves the problem of turning raw property details into an evidence-backed rental, investment, and neighborhood assessment that helps users decide whether to buy, hold, or pass.

Core Features & Use Cases

• Five-agent property analysis: Runs parallel analysis covering comps/value, rental & cash flow, neighborhood quality, investment scenarios/ROI, and market conditions for one integrated decision.
• Composite Property Score (0-100) with buy/hold/pass signal: Produces a weighted score (A+ to F) that summarizes value, income, neighborhood, upside, and market dynamics.
• Command set for common workflows: Generates targeted outputs for comps, rental projections, listings, investment plans, neighborhood intel, commercial analysis, mortgage calculations, market trends, property screening, and PDF report production.

Example use case: Before making an offer, analyze a property address to generate a Property Score, compare it to recent comps, estimate rental income and cap rate, summarize neighborhood risks (safety/schools/amenities), and outline the most likely investment path (buy-and-hold, BRRRR, or flip).

Quick Start

Run the command /realestate analyze 123 Main St, Anytown, USA to produce a full multi-agent property analysis with a Property Score and decision signal.