Romance first — “what’s the best way to approach this relationship?” — but it works for business or any exchange. Paste your full conversation with the other person. Independent AI models debate the honest read — interest, reciprocity, pacing, red flags (including romance-scam patterns) — and converge on a position-based approach: what to do and say next. Your PDF lands in your inbox automatically. $5 USD. It’s not expert advice — it’s AI Council advice.
Stripe checkout. $5 flat.
On the next page: your question, your situation, and any PDFs. Held only in memory — never stored.
On AWS Bedrock under a signed HIPAA BAA — no outside model is ever contacted. Independent AIs open, critique each other, a chair writes the consensus.
The AI Opinion lands in your inbox automatically — usually within the hour. Then every copy of your data is gone.
Your documents and details are handled only in memory while the council debates, then discarded the moment your PDF is sent. No database, no folder, nothing to leak. The only record kept is the delivery email itself — fingerprinted (SHA-256) so the report's authenticity can always be proven and forgeries disproven.
Every AI model runs on AWS Bedrock under a signed Business Associate Agreement (BAA). No outside model is ever contacted; your case is sent only to those in-BAA models and is never stored.
Your material produces your report and nothing else — it is never used to train models, ours or anyone's.
100% automated end to end — never reviewed by any human being.
Card data goes to Stripe's hosted checkout and never touches our servers.
Everything you send travels over TLS-encrypted connections.
The purpose of the AI Council is to throw complex topics and discussions into debate between independent, integrated AI models and LLMs — positions, critique, consensus — and hand you the result, while protecting your security, confidentiality, and anonymity: every AI model runs on AWS Bedrock under a signed HIPAA Business Associate Agreement (BAA), no outside model is ever contacted, and nothing you send is ever stored — it is held in memory only while the council debates, then discarded. Every AI Council product is 100% automated, never reviewed by any human being, and never used for training, ours or anyone's.
The same council that runs our medical and legal checks — models scoring ~92% on medical licensing (MedQA) and 82–84% on legal reasoning (LegalBench) — pointed at your conversation. Still AI opinions: no therapist, coach, or professional stands behind it. Honest over flattering is the standing instruction.
| Who | Medicine — MedQA (USMLE-style) | Law — LegalBench (legal reasoning) |
|---|---|---|
| Expert physicians, same questionshuman reference | 87% Liévin et al. ↗ | |
| Human passing threshold (USMLE-style)human reference | ≈60% PLOS Digit. Health ↗ | |
| Passing-lawyer threshold (bar exam MBE — a different test, shown for context)human reference | ≈60% NCBE ↗ | |
| Claude Opus 4.1Anthropic · chairs the consensus | 92.5% vals.ai ↗ | 83.5% vals.ai ↗ |
| Claude Sonnet 4.6Anthropic · senior seat | 92.1% vals.ai ↗ | 82.1% vals.ai ↗ |
| Amazon Nova ProAmazon · document analysis | 81.1% Stanford HELM ↗ | 73.6% Stanford HELM ↗ |
| Claude Haiku 4.5Anthropic · fast seat | 79.6% vals.ai ↗ | 81.2% vals.ai ↗ |
| Llama 4 MaverickMeta · open-weight diversity | 43.3% vals.ai ↗anomalously low vs its own model family on this harness — its legal score is 77.8% | 77.8% vals.ai ↗ |
| Amazon Nova LiteAmazon · fast cross-check seat — cross-checks, never chairs | —no published score for this exact model | —no published score for this exact model |
| Llama 3.3 70BMeta · independent reasoning seat | —closest published sibling (Llama 3.1 70B): 84.8% vals.ai ↗ | 77.2% vals.ai ↗ |
| Mistral Pixtral LargeMistral (EU) · European lab · vision seat | —its text backbone (Mistral Large 24.11): 76.2% vals.ai ↗ | —no published score for this exact model |
RandomCheck runs the live council seats on every $5 question.
Independent published evals of the exact model versions where available — siblings labeled as such, no score invented, re-verified 2026-07-03. Official benchmarks: MedQA paper · MedQA data · LegalBench · LegalBench paper. Independent leaderboards: vals.ai MedQA · vals.ai LegalBench · Stanford HELM · NCBE MBE. Scores move as models ship.
| Matchmaker / dating-coach package | $2,000 – $10,000 |
| Relationship therapist, per session | $150 – $250 |
| Dating coach, per session | $100 – $300 |
| Your group chat | free — and biased in your favor |
| WomanCheck AI Council Read & Approach | $5 USD |
Your friends tell you what you want to hear. The council is instructed to tell you what the text actually says — including “the interest isn’t there” and “this is a scam pattern.”
Our system doesn't replace any of them — but it sure helps to educate you before you pay them.
Pay first, then you'll describe your situation, tell the council your country and state/province, and upload documents on the next page — because we store nothing, your details are only ever handled in memory while the council debates, then discarded. The opinion is grounded in your jurisdiction's laws and guidelines, never a default. See a sample report first →
Because the #1 question people bring is a romance conversation. The council reads any exchange — men, women, business partners, family. Paste it, get the read.
No — that’s the point of the name on the tin. It’s AI Council advice: multiple AI models debating the text you pasted, no human review before delivery, not therapy or professional coaching. You know the person; the council only knows the text.
It’s instructed to do the opposite: honest over flattering. If the interest isn’t there, it says so. If the pattern looks like a romance scam — money asks, never meeting, inconsistencies — it says that bluntly.
A PDF: the honest read, the conversation dynamics with the specific lines that prove it, where it’s heading, and a concrete approach — what to say next, what to avoid, and what response to watch for.