GroundLogic AI
AI Fact Checking Tool - Verify Responses Across Multiple Models
Groundlogic AI builds AI projects, websites, and Agents. The project detailed on this website is no longer being developed, but you can check out our open source projects on Github.
Multi-Model AI Consensus: How GroundLogic Verifies Accuracy
Groundlogic AI's concept was to use multiple AI models to cross check each other to hypothetically reduce hallucinations. Preliminary benchmarking did not show a statistically significant improvement in 3 model fast mode, leading to development of the app to be halted. The app remains public as a demonstration, and allows users to compare model perspectives.
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.
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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