REAL-TIME AUDIT ENGINE

How Verity AI Works

Verity AI audits AI-generated responses in real time to detect hallucinations, factual errors, and risk — and gives you a clear trust decision.

Explore the Pipeline

DEEP DIVE

Step-by-Step Breakdown

STEP 01

Input the AI Response

It starts with your data. You provide the original user prompt and the raw AI-generated response you want to audit.

This can be done via:

💻
Dashboard: Simple copy-paste interface.
🔌
API Integration: Real-time automated checks.
📂
Batch Upload: Coming soon for bulk audits.

📌

Crucial Distinction: Verity AI does NOT generate content. We act as the independent auditor that evaluates it.

Input Interface

User Prompt:

"Explain the health benefits of..."

AI Response (Raw):

According to recent studies, kale contains... |

Verity Analysis Engine

✅

Factual Accuracy Cross-ref verified sources

🔍

Hallucination Detection Scanning for fabrications...

⚖️

Bias & Risk Check Evaluating tone & safety

Processing Layer 2...

STEP 02

Multi-Layer AI Evaluation

Once the input is received, Verity AI doesn't just read it; it deconstructs it. Our engine runs parallel checks across multiple dimensions simultaneously.

🎯 Checks factual accuracy against real-time data.
👻 Detects hallucination patterns in logic and citations.
🕸️ Identifies misleading or outdated claims.
📊 Measures confidence vs correctness.

KEY POINT

This step focuses on trustworthiness, not just language quality or grammar.

STEP 03

Gen Score Calculation

We distill complex analysis into a single, actionable metric: the Gen Score (0–100). This allows systems to route content programmatically.

0–30

Highly Unreliable: Block immediately.

30–70

Needs Review: Human oversight required.

70–100

High Confidence: Safe to publish.

Scoring Logic

Factual Accuracy +45 pts

Logical Coherence +40 pts

Risk Penalties -12 pts

Final Gen Score 73

Generated in 120ms

Risk Classification Output

✅

LOW RISK

Safe to proceed

⚠️

MEDIUM

Needs Review

🛑

HIGH

Do Not Trust

Action: Auto-Approve

STEP 04

Risk Classification

Beyond the score, we categorize every response into a definitive risk bucket. This enables your application to make instant decisions without ambiguity.

Low Risk: Push directly to production or user.
Medium Risk: Flag for "Human-in-the-Loop" review workflow.
High Risk: Automatically reject or regenerate the response.

⚡ This classification happens instantly via API.

STEP 05

Clear Decision Output

The final output isn't just data; it's a directive. Verity AI issues a definitive trust signal so your downstream systems know exactly how to handle the content.

✅

ALLOW Safe to proceed immediately.
⚠️

REVIEW Flagged for human oversight.
🛑

BLOCK High risk. Do not publish.

🎯 No guessing. No ambiguity.

Final System Verdict

ALLOW

"decision": "ALLOW",

"action": "publish_immediately"

The company reported a 200% growth in Q3.

CEO John Doe announced the merger on Friday.

Market stability remains high...

🧐 EXPLANATION LOG

❌ Factual Error

Verified data shows 15% growth, not 200%.

⚠️ Hallucination

Entity "John Doe" is not the CEO. Current CEO is "Jane Smith".

BIG DIFFERENTIATOR

Every Score Comes With an Explanation

Scores are useless if you don't know why. Verity AI breaks open the black box, giving you granular details for every flag.

🔍
Root Cause Analysis
See exactly which sentence triggered the risk.
🛠️
Actionable Fixes
Know which part of the prompt or RAG context to fix.
🤝
Builds Trust
Gives auditors and enterprise teams the "Why" behind the "No".

Audit AI Responses with
Absolute Confidence.

Stop guessing. Start verifying. Deploy your AI agents with the safety layer used by top engineering teams.

Try Verity AI View Sample Audit