Deliberation tier

When one AI isn’t enough.

ASURIQ’s engine selects from every major AI model — plus domain specialists for code, medicine, law, and math. Where they agree, you can trust it. Where they disagree, you’ve found the risk.

$29/mo or passes from $2

AI Response

The stock market historically returns about 10% annually, making it one of the best long-term investments. Most financial advisors recommend investing rather than paying off low-interest debt early.

Defender

Claim is well-supported. Historical data aligns with 7–10% average.

Attacker

Missing: tax implications, inflation adjustment, and survivorship bias in the 10% figure.

Analyst

Both valid. The 10% is pre-inflation nominal. Real returns ~7%. Key omission: time horizon matters.

How Deliberation works

You ask a question

Same AI, same chat. Nothing changes on your end. ASURIQ watches the answer come in.

The engine assembles a panel

ASURIQ analyzes your question — topic, complexity, risk level — then selects the right models. Medical specialists for health. Code experts for programming. Adversarial tribunals for complex decisions. Each works independently with different training data.

You see the verdict

Where all three agree: high confidence. Where they disagree: that’s exactly where you should look harder.

The fingerprint

Every decision deserves a paper trail.

When you ask AI for medical advice, financial guidance, or legal interpretation — and then act on it — there’s no record of what the AI actually said, how confident it was, or what it left out. The Fingerprint changes that.

Tread carefully here.

42%

Should I pay off my mortgage early or invest the difference?

factual

55%

completeness

40%

recency

72%

balance

28%

domain

45%

source

30%

coherence

68%

Bottleneck: Balance at 28% is dragging the score. The answer picks one side without acknowledging the other.

The answer treats a personal financial decision as a universal truth. The better question structures it around YOUR numbers.

Try asking

Given a 5.8% mortgage rate with 22 years remaining and moderate risk tolerance, what are the 5-year cost scenarios for refinancing vs. staying vs. investing the payment difference? Cite sources for any statistics.

ASURIQ FingerprintFP-2026-0623-4a7c

A Fingerprint captures:

The exact confidence score and what drove it — 7 axes, each scored and explained

What each AI model said — defender, attacker, analyst — and where they disagreed

Error visibility: how likely you’d have caught the mistake on your own

Every entity flagged — studies, stats, organizations — with verification status

Internal contradictions the AI made within its own answer

The better question you should have asked, generated from the weakest axis

Why it matters:

A doctor who prescribes based on AI can point to the Fingerprint showing what was verified. A financial advisor can demonstrate due diligence. A lawyer can show the analysis trail behind a recommendation. The Fingerprint is the difference between “I asked AI” and “I verified with AI and here’s the proof.”

Every Fingerprint is timestamped, exportable as PDF, and immutable. It’s not a summary — it’s the complete forensic record of how a piece of AI output was evaluated.

When to use it

Built for decisions that matter.

Refinancing your home

Your AI says invest instead of paying off your mortgage. Deliberation runs the same question through three models. Two agree on direction, but one dissents with specific numbers about your risk profile that the others missed entirely. The Fingerprint captures the disagreement — and that’s exactly what you bring to your advisor.

Evaluating a medical recommendation

Your AI says a supplement is safe. Deliberation finds one model flags a drug interaction the others missed. That’s the kind of thing you only find when multiple perspectives examine the same claim. The Fingerprint logs it — so your doctor sees what you saw.

Reviewing a contract clause

An AI interprets your non-compete. The defender agrees with the interpretation. The attacker finds a jurisdictional exception. You now know the clause has an argument you hadn’t considered — and you have the PDF to show your attorney.

Reviewing AI-generated code

Your AI writes a database migration. Deliberation catches a SQL injection vulnerability the original model introduced, flags a deprecated Buffer() constructor, and notes an empty catch block silently swallowing errors. The Fingerprint logs every finding — your code review just got an audit trail.

Making an investment decision

The AI recommends a strategy with conviction. Deliberation exposes that two models disagree on the underlying assumption about interest rates. The consensus isn’t wrong — but the disagreement reveals the bet you’re actually making. That’s worth $29.

What you get

Dynamic model panels

The engine has access to Claude, GPT-4o, Gemini, DeepSeek, and dozens of domain specialists. It builds the right panel for each question — not the same three models every time.

Multiple strategies

Parallel consensus for fast answers. Specialist-first cascade for domain expertise. Adversarial tribunal for high-stakes decisions. The engine picks the right approach automatically.

Genius protection

When one model says something unusual the others miss, Deliberation doesn’t dismiss it. Sometimes the minority opinion is right.

Full audit trail

Export the complete Fingerprint as PDF. Every model’s assessment, every disagreement, timestamped and immutable.

Conversation drift tracking

Over a long chat, AI starts agreeing with you instead of informing you. Deliberation watches for position shifts and flags when the AI changes its mind without new evidence.

Pattern learning

Over time, Deliberation learns your AI’s weak spots. “Your AI tends to be overconfident about medical claims” is the kind of insight that changes how you use AI permanently.

One AI can sound right and be wrong.

Three AIs checking each other is how you find out. The Fingerprint is how you prove it.

Start Deliberation

$29/month or single passes from $2. Cancel anytime.