10 Knowledge Workers engineered for residential real estate — from adjustment-grid valuations to rental yield analysis and market cycle classification. They understand DOM, list-to-sale ratios, and months of inventory because that's how they were built to evaluate properties.
Comparative market analysis with structured adjustment grids for size, condition, age, upgrades, and location. Dollar and percentage adjustments documented per line item. Red flag identification for pricing anomalies, flood zones, unpermitted work, and title encumbrances.
Market cycle classification using months of inventory, list-to-sale ratio, and DOM trending at MSA, county, ZIP, and submarket levels. Supply/demand analysis tracking listings, permits, absorption rates, and seasonal patterns.
True total cost modeling at 110–115% of purchase price including closing, inspection, title insurance, and repair estimates. Affordability analysis using DTI ratios, PMI thresholds, and reserve requirements. Cash flow waterfall from Gross Scheduled Income through NOI to Before-Tax Cash Flow, with GRM, cash-on-cash, and cap rate benchmarks.
Market rent validation with adjustments for unit type, condition, and location. Expense ratio benchmarking and rent growth projections tied to wage growth, population trends, and supply pipeline. Portfolio-level analysis with equity tracking and 1031 exchange planning.
Transaction timeline management from offer through closing with milestone tracking and contingency deadlines. Document preparation for purchase agreements, counteroffers, and disclosures. Post-closing support including tax monitoring and refinance timing analysis.
The residential RAG profile operates at 0.75 similarity with 620-token chunks and 1.32× domain boost. Recency weighting at 0.22 reflects the pace of residential markets — last month's comps matter more than last year's. The system understands that “DOM” means days on market, that “contingent” means under contract with conditions, and that “pending” means awaiting close. Source preferences weight MLS data, public records, and tax assessor information above general real estate commentary.
The agents classify using RESO Data Dictionary (Real Estate Standards Organization) and MLS-RETS standards for property data interoperability. Property types: SFR, Condo, Townhouse, Multi-Family (2–4 units), Manufactured, and Vacant Land. Financing classifications: Conventional, FHA, VA, USDA, Jumbo, ARM, and Seller Financing. Regulatory awareness spans RESPA, TILA, Fair Housing Act, and state-specific disclosure requirements.
This is the most important guardrail in the entire Cyrenza platform. The residential agents enforce Fair Housing Act compliance at every level. Language patterns are actively blocked for familial status, race, religion, national origin, disability, sex, and color. Steering, blockbusting, and redlining patterns are prohibited and detected. Every listing-related output includes Equal Housing Opportunity language. Statistical analyses are presented at aggregate market level only — never in ways that could enable discriminatory steering. Audit retention is 5 years. Violations trigger immediate escalation. This isn't a checkbox — it's architecturally enforced.
10 Specialized Knowledge Workers
Specialized for Residential Real Estate
From first showing to closing, your AI team researches properties, qualifies buyers, and prepares documentation—helping you close more deals with less overhead.
From adjustment-grid CMAs to rental yield analysis, Cyrenza's residential agents evaluate properties the way top-producing agents and investors do — with the comps, market data, and Fair Housing compliance your business requires.
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