Concept·Workflow Infrastructure·Agency·Emerging·CON-024

Design Skills, Contracts and Evals Development

Value hypothesis

Builds organisational AI capability through reusable files that reduce variance in AI output quality across team members and compress the time practitioners spend learning to prompt effectively. Inc.

Learning · Efficiency

The design team builds, uses and maintains organisational AI infrastructure to help codify execution and review quality of repeatable activities. These instruction files, system prompts, work contracts, and design evals help standardise how team members use AI tools. "Prompt ops" encourages shared practice and facilitates onboarding. Quality management goes from reactive to preventive: teams integrate compliance, heuristics, and functional baselines into the generation context before work begins, rather than correcting AI output afterwards.

Risks in application

Pseudoproductivity

Instruction files may appear to standardise practice while encoding shallow or misaligned guidance; teams may believe they have quality governance despite templates being too generic to materially improve output quality. "Eval theater" aligns quality on fulfilling automated tests rather than demonstrable value.

Deskilling

Instruction files created without documented reasoning become organisational dependencies no one can explain or adapt when AI tools change; the rationale for specific constraints is lost before anyone thinks to record it.

Expertise that differentiates

Design System Logic

Structuring instruction files with the same architectural discipline as design system components: composable, reusable, maintainable, and consistent across different team members' workflows.

Business Framing

Defining which organisational constraints, quality standards, and brand requirements need to be encoded, and prioritising which workflows benefit most from standardisation.

AI Fluency that assures

Performance Discernment

Humans must the supply organisational insight necessary to define constraints, standards, and requirements, and to prioritize which workflows benefit most from standardisation.

Outputs must be monitored to verify that desired quality improvements are delivered, not just that the templates are well-structured.

Design Skills, Contracts and Evals Development

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Enables

CON-028Assure governance for Design system-compliant prompting.Production Copy GenerationDefines the rules under which production copy generation operates.Design Handoff AutomationGoverns document generation within the handoff pipeline.Design-to-CodeScaffold production code.IMP-065Supports how the project knowledge base is queried and used.