I.be u.be we.be foodbe.ai
Brian Mohr’s Foodbe.ai, the world’s first honest AI, wants to help you evolve your eating habits.
AI hallucinates or downright lies.
Foodbe.ai founder Brian Mohr has a solution he calls Gated Truth Architecture (GTA), which forces the AI program to verify the truth of its initial response to a user’s question.
“Honesty is the default,” he said.
GTA is at the heart of Mohr’s Foodbe.ai, which seeks to help people eat with insight and confidence.
“Foodbe is an AI food intelligence engine that reasons, resolves, and never guesses,” he said. “If it doesn’t know the answer, it says so. Every failure is tracked and a new fact is added to the library.”
Mohr claims that his GTA will work for the following industries: vision insurance, dental insurance, health insurance, pharmaceutical patient education, financial services, and legal research.
“Different data, same discipline,” Mohr continued.
“I built an intelligence system that prevents AI from lying. It gates a fine-tuned GPT-4.1-mini model in a pool of 10,000+ hand-curated fact seeds.”
Foodbe works by sending a user’s question through three external AI machines before comparing and contrasting the answers against its fact library, also known as a seed library.
Think of it this way: your question is sent to three superior brains, none of which guess. Foodbe’s AI brain then decides the most relevant answer to your question before it responds.
The three expert AI brains that Foodbe uses are:
Neuro— peer-reviewed nutrition science. Knows what food does inside your body. Powered by PubMed and USDA.
Oracle— food history and cultural background. Knows the origin of every dish and why we eat it. Powered by JSOTR academic library and Smithosonian government archives.
Chefy— culinary talk and cooking technique. Knows how to cook and to make food taste better. Provides advice for food readiness, heat temps, flavor improvement, and more.
Mohr’s architecture has six rules:
Verified sourcing — No fact enters Foodbe’s system without a verified source.
Citation — No answer leaves the system without a citation.
Every fact lives in a single lane — domain separated, never cross-contaminated.
The system detects its own gaps — every unanswerable question becomes a backlog item for human curation.
No retrofit fine-tuning — the model is constrained at the architecture level instead of the prompt level.
Every output is auditable — every claim is traceable to its source, and every answer retrieved is logged.
When GTA is applied to other industries, the architecture remains the same. What changes is the seed library.
“A vision insurer’s seed library is different from a dental insurer’s,” Mohr explained. “The Gated Truth Architecture is the engineering. The seeds are the moat.”