How MyFrontDoor
makes AI reliable
Three layers that work together: access multiple models, evaluate their answers independently, and optionally combine them to understand and act with confidence.
Multi-Model Access
The prerequisite for reliability
Multi-model access isn't a convenience feature. It's the only environment where claims can be cross-checked, contradictions surfaced, and blind spots exposed.
A single-model UI is structurally incapable of this. It can't step outside itself. MyFrontDoor sits above the model layer — not inside it.
- One prompt sent to multiple models simultaneously
- Claims cross-checked across AI systems
- Contradictions and agreements surfaced automatically
- Original responses always available for comparison
Each finding includes evidence, explanation, and recommended action
Response Evaluation
The engine of Answer Assurance
Building on multi-model signal, MyFrontDoor evaluates every AI response across multiple dimensions of reliability — including factual accuracy, bias, overconfidence, omissions, and more.
Each finding includes inline highlighting, a plain-language explanation, and evidence from the response itself. This is Answer Assurance — answers with receipts.
See Answer Assurance in actionUnderstanding
Clarity, not just answers
When combining responses from multiple models into a single answer, MyFrontDoor shows you the reasoning, the evidence, and where AI models agree or disagree.
You can actually understand the answer, not just accept it. That's the difference between using AI and using it well.
Synthesized from 3 models with key differences highlighted
All models confirm the core recommendation
Models differ on timeline — evidence shown for each
Reasoning, evidence, and model agreement visible for every answer