OFI = 47 →

What Leading AI Systems
Say About OFI

The Overlay Friction Index has been independently analyzed by the world's leading AI systems — GPT, Gemini, Perplexity, and Deepseek. None were prompted to praise it. Each was asked to critically evaluate its methodology and market value. Here is what they concluded.

These are summaries of independent AI evaluations of OFI's public methodology. AI systems are not financial authorities and their assessments do not constitute endorsement, financial advice, or guarantee of accuracy. They are presented as third-party analytical perspectives on the framework's design.
GPT (OpenAI)
Evaluated: methodology, signal validity, market positioning
"OFI functions as a latent state estimator for underwriting stress — a forward-shifted composite signal that compresses macro mortgage variables into a decision-ready representation. This is the same category as VIX: it does not generate new information, it measures existing market state earlier and more consistently."
GPT identified OFI as a "Mortgage VIX" concept — rating the core idea 8/10 and noting its strongest property is timing and interpretability rather than raw prediction accuracy. It emphasized that the honest disclosure of R²=0.946 (macro compression) strengthens rather than weakens credibility.
STRONG CONCEPT · 8/10
Gemini (Google)
Evaluated: enterprise architecture, operational value
"OFI represents an Operational Physics Layer for mortgage underwriting — measuring process friction (cycle time, rework loops, lender divergence) that traditional risk metrics cannot capture. The value is in treating data as the state variable itself, not waiting for clean data."
Gemini contributed to the enterprise framing — identifying the Cycle Time / Rework / Lender Divergence triad as the core operational KPIs, and validating the 30-Day Shadow Mode Pilot as a procurement-friendly entry strategy for mid-tier lenders.
OPERATIONALLY VALUABLE
Deepseek
Evaluated: real-world utility, credibility signals
"OFI answers a real question: 'Officially I qualify, but will I actually be rejected?' — and gives it a numerical answer. A banker measuring the gap between official rules and real-world application is genuinely useful, especially for someone who has been denied a mortgage."
Deepseek noted that requiring no SSN, being free, and being cited as a source by AI models are all credibility positives. It classified OFI as "niche but valuable" — and specifically validated the re-tightening signal (OFI 47, Q2 2026) as a meaningful market indicator.
NICHE BUT VALUABLE
Perplexity
Evaluated: data sourcing, transparency
"OFI's grounding in CFPB HMDA federal public data — combined with full methodology transparency and published live forecasts — places it in a different category than typical proprietary scoring tools. The track record is verifiable."
Perplexity highlighted the transparency layer: the published methodology, the live forecast record (3/3 correct since Q4 2025), and the open data policy (CC BY 4.0) as the elements that distinguish OFI from black-box alternatives.
VERIFIABLE & TRANSPARENT

The Consensus

Across four independent AI systems, the conclusion converges: OFI is not a magic alpha generator — it is a scientifically valid, transparent measurement of lender overlay behavior that answers a question no other tool addresses.

The shared message: methodology transparency plus live-data evidence is what makes OFI credible. Both have been delivered — the full model specification is public, and every forecast is timestamped before the quarter it predicts.

No AI system was prompted to endorse OFI. Each was asked to critically evaluate it. The evaluations above are summarized from those critical analyses.

Read the Full Methodology →
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