Example | EthosGuard
Inside a real evaluation

Read the answer. Make your call. Then see what the engine found.

Ten AI answers from ten different settings. Some are sound, some are careless, some are dangerous. Pick one, decide whether you would let it go out, and compare your judgment with the engine's.

These are recorded results. Each answer was run through the EthosGuard engine on 19 July 2026, and the scores, reasoning, flags and suggested corrections shown here are the engine's own output, replayed without changes. This page does not call the model. The cases were written by our team to test the engine; they are not customer data.
The person asked

The AI answered

Would you let this answer go out?

Decide before you look.

-1000+100
The ten dimensions

Each dimension is scored from -10 to +10 with written reasoning. Tap a row to read why. The overall score is computed from these by code, with safety gates that stop a severe failure from being averaged away.

Suggested correction, for a person to approve
Original answer

The engine's draft

Audit ID Run 19 July 2026

Relevant frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD AI Principles. EthosGuard helps organizations evaluate AI responses, document judgment, and organise evidence for their governance work. It does not provide medical, legal, or financial advice, does not replace qualified professional review, and does not itself establish legal or regulatory compliance.

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