Unified Safety Architecture: Active

One Model is a Risk.
Four is a Fact.

Whether it's production-grade code or your child's fever, confidence is the enemy. We triangulate GPT, Claude, Gemini, and Grok to catch silent hallucinations before they ship, prescribe, or escalate.

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Three-Step Flow

How 8legs Works

Built for people who need receipts, not reassurances.

01

Submit Your Prompt

Drop in the decision, code snippet, or advice you can't afford to get wrong.

02

Get multiple responses

We query GPT, Claude, Gemini, and Grok in parallel to expose disagreements fast.

03

Compare With Confidence

Spot consensus, detect outliers, and act with confidence backed by evidence.

The Stakes

Safety Isn't A Preference.

A hallucination doesn't distinguish between your professional Slack and your kitchen table. We treat all high-stakes data with the same rigorous cross-model entropy checks.

Psychological Safety

Single models can unknowingly validate harmful behavioral loops. Our quad-check forces objective reality back into crisis-level interactions.

Clinical Accuracy

From dosage math to symptoms, we catch "confident errors" that occur when training data for a single model is outdated or sparse.

Legal Precision

We flag fabricated citations and missing precedent before a single hallucinated case reaches a filing or contract.

Code Reliability

Quad-checks prevent destructive commands, phantom APIs, and security holes that slip through single-model code review.

Quad-Analysis in Progress
HASH_771X_SAFE

High-Stakes Input

"Identify if this cleaning chemical mixture (Ammonia + Bleach) is safe for home ventilation."

GPT-4o

Safe if ventilated...

CLAUDE 3.5

HALO: DEADLY GAS

GEMINI 1.5

Standard mixture...

LLAMA 3.1

Consult manual...

Entropy Mismatch Detected: High-Risk Outlier

Failure Wall

The Wall of Single-Model Failures

Verified accounts of when "the smartest AI in the room" got it dead wrong.

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r/ChatGPT

Hallucinated Dosage

"Asked for pediatric dosing and got a clean, confident answer that was off by a decimal. If I hadn't checked the label, I would have given 10x. The phrasing made it sound like a clinical guideline."

Risk: Critical (Health)
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r/LegalAdvice

Citation Mirage

"It generated case law with perfect Bluebook formatting that flat-out didn't exist. I spent an hour hunting, then realized it hallucinated everything. That's terrifying if you're under a filing deadline."

Risk: Severe (Legal)
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r/Parenting

Outdated First Aid

"I asked about choking and it suggested the old finger sweep. That advice was phased out years ago. The tone was so calm that I almost trusted it without verifying."

Risk: Critical (Safety)
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r/CSCareerQuestions

Broken AWS Flag

"It told me to use a non-existent S3 flag in a cleanup script. I copied it, got errors, and almost replaced it with a destructive command the model suggested next. I stopped and wrote the script manually."

Risk: Severe (Infrastructure)
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r/Security

Phantom CVE

"Asked for a patch path and it invented a CVE number and a fix that doesn't apply to our stack. If I had shipped that, I'd have a false sense of security and no real mitigation."

Risk: Severe (Security)
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r/Medicine

Confident Misdiagnosis

"Gave a set of symptoms and it asserted a benign explanation with high confidence. My doctor said those symptoms could signal something acute. The model never mentioned the red flags."

Risk: Critical (Health)
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r/AskEngineers

Wrong Torque Spec

"It output a torque value that looked plausible but was for a different bolt size. If I hadn't checked the manual, that could have caused a failure under load."

Risk: Severe (Safety)
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r/DevOps

Imaginary Config

"It hallucinated a config key that doesn't exist and told me it would fix our latency. We lost an afternoon chasing a ghost setting. The advice sounded authoritative and specific."

Risk: Severe (Infrastructure)
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r/PersonalFinance

Tax Rule Hallucination

"It confidently described a tax deduction that isn't real in my country and suggested steps that would have gotten me audited. The language was polished enough that I assumed it was accurate."

Risk: Severe (Financial)

Social Proof

Proof From the Front Lines

Two real-world stories from teams who needed the second, third, and fourth opinion.

Pricing

Pick a Plan. Pay for Certainty.

Same quad-verification core on every tier. Start free, then scale with predictable audit credits.

Pilot

$0Free

Prove the value with a daily sample. No card required.

  • 2 audits / day
  • Quad model coverage
  • Basic prompt history
Most Popular

Pro

$19/ mo

Best for daily decisions where a wrong answer costs real money.

  • 100 audits / month included
  • $5 / 100 audits top-up
  • Priority routing
  • Exportable audit trail

30-Day Money Back Guarantee

Enterprise

$199/ mo

For teams shipping critical systems with shared accountability.

  • 1,000 audits / month included
  • $10 / 1000 audits top-up
  • API access + webhooks
  • Team workspaces + policy controls

Real-Time Audit

Verify a Crisis Right Now

Is that advice safe? Don't wonder. Know.

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FAQ

The Hard Truth FAQ

Direct answers for teams who can't afford vague reassurance.

Why is this better than just using ChatGPT?

ChatGPT has a "praise bias" - it wants to agree with you. If you give it a bad idea, it will often try to help you execute it rather than flagging it as dangerous. 8legs uses competitive models (Claude vs. GPT) to ensure a dissenting voice always exists.

Does this work for personal wellness?

Absolutely. We are seeing a massive rise in "Wellness Hallucinations" where AI suggests supplement mixes that lead to serotonin syndrome or liver failure. Quad-verification cross-references these against clinical databases.

How do I know the results are real?

We show you the raw divergence. If 3 models say "Safe" and 1 says "Deadly Gas," we don't average them - we alert you to the conflict. Safety lives in the outliers.

Which models do you compare?

8legs triangulates GPT, Claude, Gemini, and Grok so you can see where they agree and where one goes off-script.

Is my data stored or used for training?

No. We minimize retention and keep requests ephemeral. Your prompts are analyzed for verification, not training.

What kinds of prompts work best?

Anything high-stakes - medical guidance, legal strategy, infrastructure changes, or security-sensitive code.