real estate listing pipeline

The problem

Writing real estate listings is a liability minefield. Manually checking every phrase against the Federal Fair Housing Act while juggling 500+ different MLS board rules leads to accidental steering, illegal exclusions, and costly fines.

What it does

• Generates MLS-style property descriptions, social media posts, and email blasts from raw property data.
• Redacts per-se unlawful phrases (Tier 1) like "no kids" or "Christian housing" automatically to prevent accidental publication.
• Flags Tier 2 coded language (neighborhood quality, demographic euphemisms) and provides specific explanations for broker review.
• Verifies potential Housing for Older Persons Act (HOPA) exemptions when age-restricted language is detected.
• Performs a two-tier federal fair housing check covering race, color, religion, national origin, sex, familial status, and disability.

Why this beats prompting it yourself

General-purpose LLMs often invent "standard" MLS rules that don't exist or miss subtle demographic steering language. This skill enforces strict boundaries between federal law and local variations, ensuring you never treat a generic AI guess as a compliance certification.

Use cases

• Drafting compliant MLS descriptions from raw feature lists and square footage.
• Screening existing listing copy for subtle Fair Housing Act violations before submission.
• Converting property highlights into safe social media marketing and email sequences.
• Onboarding properties in senior living communities by validating HOPA claim requirements.

Known limitations

Does not verify state-specific protected classes or local MLS formatting rules unless you provide them. Cannot review photos for demographic representation unless the image files are directly uploaded.