GroundLogic AI

AI Fact Checking Tool - Verify Responses Across Multiple Models

Reduce hallucinations by cross-checking ChatGPT, Gemini, and Llama. Scale up to 6 models for deep verification and web-grounded consensus citations when accuracy matters most.


Multi-Model AI Consensus: How GroundLogic Verifies Accuracy

AI models can sometimes hallucinate facts or disagree with each other. GroundLogic reduces uncertainty by cross-checking responses across models.

Submit Your Question to Multiple AI Models

Your Query is sent to 3-6 leading AI models (depending on the mode). You can also optimise response accuracy with Expert Focus Mode in the sidebar, by pre-selecting the domain of the question.

AI Consensus Algorithm Weighs Each Response

AI models are treated equally and fairly in 3-model mode, using simple majority logic. In 6-model mode, your query is assigned a weight based on its benchmark performance data in that domain.

Get Fact-Checked Answers Verified Across Models

The synthesizer (another LLM) summarizes responses from the other models, discards outliers, and executes weighting logic. Based on model consensus, confidence scoring is determined.


Who GroundLogic Is For:

Researchers verifying claimsJournalists fact-checking draftsStudents comparing model outputsAI power users seeking higher confidence


GroundLogic AI is currently in free public beta and may hallucinate. By using the app, you agree to our Terms of Service.
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