The AI Prompt That Exposed $552 Million in Operator Fraud

The exact research prompt used across 48 properties before a single conversation goes further. Free.

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Built from data across 48 properties in 7 states

How to Vet a Real Estate Syndicator Before Investing

$552 million in multifamily fraud. Three operators convicted in 12 months. Every one of them built trust through podcasts, webinars, and social media before investors lost everything.

This AI operator vetting prompt searches SEC filings, lawsuits, public enforcement actions, BiggerPockets forums, Reddit, and investor blogs to surface red flags before you wire a single dollar.

What the Prompt Checks

Real Fraud Cases This Research Uncovered

Matt Onofrio committed $420 million in fraudulent bank loans across 68 multifamily deals. He staged vacant units to look occupied and faked proof of capital. Sentenced December 2025 to 36 months in prison.

A San Antonio syndicator ran a $69.5 million Ponzi scheme across 17 offerings, using new investor money to pay old investor returns for 26 months. Pleaded guilty February 2026.

A Southern California fund manager sold $62.5 million in bogus promissory notes to 500 investors, promising 12% to 15% monthly returns while investing in Broadway shows and a personal Coinbase account.

How to Use the AI Vetting Prompt

Open ChatGPT or Claude. Paste the prompt. Replace the operator name and company name. Review the severity rating and any links to SEC filings or forum posts. Cross-reference anything flagged against sec.gov and court records directly.

Run the prompt on both the individual and the company separately. Run it again every 6 months on existing partners. 15 minutes of research before wiring six figures to someone you met at a conference.

Who This Is For

Limited partners evaluating GP track records. Family offices conducting operator due diligence. Multifamily investors vetting syndication sponsors. Anyone wiring capital to a real estate operator they found through a podcast, webinar, or conference.