
IamVera
Multi-model AI verification that catches hallucinations before you act
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About IamVera
IamVera cross-checks AI answers through multiple-models independently. Catch hallucinations, unsupported claims, and missing sources before they enter professional work.
What is IamVera?
Professionals who need exact AI results can use IamVera which functions as an AI verification system with multiple operational modes. Vera directs all responses to pass through an autonomous verification system which operates independently from the language model. The initial response gets created by Claude while GPT conducts a factual audit and Grok performs an adversarial test and Perplexity confirms information through current source verification. The system generates an answer which shows all changes and source references and conflicting points for complete transparency and audit tracking.
Key Features
Verification chain: Every answer passes through Claude, GPT, Grok, and Perplexity in a configurable sequence. No single model has the final word without independent review.
Factual audit: GPT verifies each factual claim in the initial answer and flags errors or gaps with structured feedback.
Adversarial challenge: Grok plays devil's advocate, surfacing missing context, ambiguous framing, and critical distinctions that other models may gloss over.
Live source verification: Perplexity checks claims against live, citable references to ground the final answer in verifiable sources.
Radical transparency: Every step is inspectable. The system shows the original JSON data which contains all model requests and their corresponding correction attempts and disagreement cases and judge evaluation results. All information remains fully intact without any form of summarization.
Honest failures: When a check fails or models disagree, Vera shows it. The supply chain performs its operations through disagreements which form the core of its business model.
Who is it for?
IamVera exists to help users who experience AI output changes which they need to see but cannot allow the system to produce undetectable mistakes. The process involves three main user groups who perform specific tasks which include legal researchers and compliance officers who check regulatory summaries and journalists who verify their background research before publishing and academic or policy researchers who validate AI-produced literature summaries. The system operates in the EU through OpenRouter which enables its integration into professional environments that require both security and accountability-based operations.
@victor · 8/31/2026
Hi everyone! I'm Victor, founder of IamVera. I built Vera because professionals in law, healthcare and journalism can't blindly trust a single AI answer. Vera routes each answer through independent models — Claude, GPT, Grok and Perplexity — that check facts, challenge reasoning and verify sources, with every step visible. Sensitive documents are pseudonymised on EU infrastructure before any external model sees them. No truth guarantees — just inspectable verification. Ask me anything!