Working with AI
Working with AI structures your system so AI tools can use it correctly whilst maintaining quality and oversight. Without this structure, AI generates inconsistent outputs that bypass your standards rather than follow them. This strategy creates the documentation, rules, and validation needed so AI reinforces your system instead of undermining it. Use it when adopting AI tools or when AI-generated work starts drifting from your standards.
As AI tools become embedded in design workflows, teams need structure to prevent AI from creating system drift at scale.
Structure for AI comprehension
Ensure your system can be understood and used by AI tools. Create predictable, parseable token structures.
Create AI guidance
Standardise how your team asks AI to work with the system. Define boundaries and quality standards for AI-generated work.
Validate AI outputs
Catch system violations before they reach production. Track how AI is being used and where drift occurs.
Govern AI usage
Define how AI fits into your workflow and create human review gates to ensure quality and appropriateness.
Maintain system integrity
Use insights from validation and audits to update your rules and documentation, keeping your system aligned as AI tools evolve.