Machine Experience

Learn MX.

The practice of adding metadata and instructions to internet assets so AI agents don't have to guess.

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Machine Experience is the discipline of designing digital systems so that machines can read, trust, and act — reliably, safely and consistently.

AI agents are becoming a new consumption layer for enterprise digital platforms. If your content isn't structured for them, they route around you.

The core principles that guide every MX implementation — from semantic HTML to structured data to governance metadata.

What your organisation gains from implementing Machine Experience — discoverability, citation, trust, and competitive advantage.

When AI must "think" (infer from incomplete context), it hallucinates. Explicit structure prevents this. The foundational principle of MX.

The pitfalls teams fall into when designing for machines — and how to avoid them.