Observed Signal · May 25, 2026 · Analysis / Thought Piece · Source: UX Collective · Impact: 2/5 · Sentiment: Neutral
Designing UX for Humans and Machines
Allie Paschal published an essay on May 25, 2026 arguing that UX and design systems must evolve to serve both human users and machine readers (AI/automation). The piece explains that human-centered documentation relies on implicit context and designer judgment, which machines cannot infer. To be machine-readable, component guidelines should specify defined inputs/outputs, explicit rules/conditions (if X then Y), and be reconstructed as structured data such as design tokens and component properties. Paschal proposes dual-layer design-system documentation—an explanatory layer for humans and a structural, machine-executable layer for automation—and gives a concrete example of a banner component with props and variant logic. The article questions whether existing human-oriented resources (e.g., IBM Carbon docs) are sufficient when AI tools begin parsing and executing design decisions.
Highlights a practical shift in design-system practice toward machine‑readable specifications and structured data, which is relevant to creative automation and tooling but is an industry practice discussion rather than a platform policy or major product launch.
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Key Takeaways & Evidence Grounding
- Allie Paschal published an article on Medium on 2026-05-25 about designing UX for both humans and machines.
- The article argues design-system documentation must become machine-readable by providing defined inputs/outputs, explicit rules, and structured data.
- Paschal provides a concrete example of a banner component: typed props and a variant logic table mapping message_type and user_impact to variants.
- IBM Carbon’s Notification pattern is cited as a human-friendly example questioned for machine readability.
- The author recommends a dual-layer documentation approach: a descriptive layer for humans and a structural layer for machines.
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