Use AI for leverage, not identity
AI is great at accelerating drafts, variations, and audits—but it tends to average everything out. The winning workflow is: AI generates options, humans enforce brand and strategy.
Best use-cases for AI in web design/dev
- Information architecture drafts (sitemap, navigation labeling)
- UX writing variations that match a brand voice
- Component variants (layout options, empty states)
- Accessibility and heuristic review checklists
- Content migration cleanup (summaries, categorization)
A prompt framework that avoids “generic”
Include:
- Brand adjectives (3–5)
- Audience + context
- “Do not sound like” constraints
- Examples of existing copy (2–3 snippets)
- Output format requirements (length, reading level)
Prompt snippet
- Brand: precise, calm, technical, not hype
- Audience: busy engineers evaluating a tool
- Avoid: “revolutionary,” “game-changing”
- Provide: headline (max 8 words), subhead (max 20 words), 3 bullets
Validation steps (the part people skip)
- Truth check: does it claim features you don’t have?
- Voice check: does it match your brand tone?
- Accessibility check: are labels clear and non-ambiguous?
- Conversion check: does it support the user’s next step?
Keep humans in the loop with guardrails
- Maintain a brand voice sheet.
- Maintain UI copy guidelines (button verbs, error tone).
- Create a reusable prompt library for consistent output.
AI workflow checklist
- AI outputs are reviewed for claims + accuracy
- Brand voice constraints included in prompts
- Accessibility reviewed (labels, errors, headings)
- Final copy has a single clear CTA per section
