Source of Truth
Grounding AI so your content stays accurate
The fastest way to lose trust in AI-generated learning is a confident wrong answer. Mexty's Source of Truth grounds generation in your own knowledge bases, so courses reflect what your organization actually approves.
The hallucination problem
General-purpose AI will happily invent a policy, a figure or a procedure that sounds plausible but is wrong. In learning — especially compliance and onboarding — that is unacceptable. The fix is grounding: constraining the AI to trusted sources.
- Limit hallucinations by anchoring answers to your material
- Keep generated courses aligned with approved content
- Update the source once, and every course can follow
How a Source of Truth works in Mexty
You build knowledge bases from your policies, product docs, manuals and approved materials. When Mexty generates a course through AI-native authoring and vibe coding, it draws on those knowledge bases as its Source of Truth — so the interactive learning it produces is grounded, not guessed.
Multi-LLM, but always grounded
Mexty's multi-LLM architecture optimizes for quality and cost and avoids single-model dependency — but whatever model is used, generation stays anchored to your Source of Truth. And your content is never used to train AI, so your knowledge stays yours.
Governance that scales with you
Combined with users, roles and groups and reviewer workflows, a Source of Truth becomes a governance layer for your whole learning operation — the backbone of trustworthy, AI-native learning infrastructure aligned with GDPR/RGPD and EU AI Act readiness.
See learning infrastructureGround your AI in a Source of Truth
Build knowledge bases that keep AI-generated learning accurate, approved and trustworthy — at any scale.
Keywords: Source of Truth, knowledge bases, limit hallucinations, multi-LLM architecture, AI-native, secure AI authoring platform.










