Real estate and PropTech evaluation patterns
Real estate evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
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Real estate evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
Recommended primitive ratio for real estate AI: 60/25/15 — deterministic rules, code assertions, judges. Fair Housing Act, FCRA, and state real-estate forms drive most checks to deterministic rules; bias auditing leans on code scorers.
Deterministic rules
60%
Protected-class language, agent-review gate, FCRA accuracy, state-form clauses
Code assertions
25%
Demographic fairness, factual match, comp-set checks
LLM judges
15%
Steering language detection, neighborhood-claim faithfulness, tone, retaliation guard
Listings — protected language
Rule + Judge
No protected references direct or indirect
Listings — factual accuracy
Code assertion
Sq ft, beds, baths match data
Listings — agent gate
Rule
No publish without agent sign-off
AVM — fairness
Code scorer
Valuation parity post-attribute control
AVM — comp set transparency
Rule
Comps cited
AVM — confidence interval
Rule
CI present
AVM — out-of-area refusal
Rule
Below threshold = refuse
Tenant screening — FCRA accuracy
Rule
Every item verifiable
Tenant screening — adverse action
Rule
Notice triggered
Tenant screening — fairness
Code scorer
Group outcome parity
Tenant screening — criminal record
Rule
HUD 2016 guidance
Transactions — state form
Rule
Clauses match state standard
Transactions — required disclosures
Rule
Federal + state surfaced
Transactions — citation
Judge
Output grounded in contract
Property mgmt — tenant rights
Rule
Jurisdiction-specific cited
Property mgmt — habitability
Rule
Auto-escalate
Property mgmt — retaliation guard
Rule + Judge
Sensitive cases route to human
listing.lookup — listing data and source
protected.scan — protected-class language detector
comp.set — comp properties cited
fcra.verify — item verification trail
state.form.match — state-specific clause comparison
tenant.rights.lookup — jurisdiction-specific tenant rights
For each real estate judge, label ≥ 50 paired examples:
Steering-language detection: Fair-housing specialists label; cover subtle steering
Neighborhood-claim faithfulness: Local agents + data analysts label
Retaliation-guard sensitivity: Tenant-rights attorneys label
Contract-citation faithfulness: RE attorneys label per applicable state
Run judge optimization with budget="medium". For protected-class detectors, run with budget="heavy".
Per-deploy
CI gate runs scenario suite (rules + assertions)
Daily
Sample production traces; full evaluation
Weekly
Demographic-fairness audit on AVM and tenant screening
Monthly
GEPA re-optimization on judges
Quarterly
State-form refresh; HUD guidance review; jurisdiction-rights refresh
Annually
Full fair-housing audit; insurance E&O renewal evidence package
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