AI in a Design Workflow: What We Use It For (and What We Don't)

Every agency now claims “AI-powered workflows.” Here’s what that concretely means in ours, and the places we deliberately keep it out.

Where AI genuinely accelerates the work

  • First drafts of structure. Sitemaps, content outlines, user-flow variations, AI produces starting points in minutes that used to take a morning. We keep maybe 40%, but the 40% arrives instantly.
  • Development speed. Boilerplate, refactors, and test scaffolding move dramatically faster. The craft shifts to review: knowing what good looks like so you catch what’s off.
  • Research compression. Summarizing competitor positioning, extracting themes from customer reviews, auditing a site’s technical SEO, hours to minutes.
  • Asset drudgery. Alt text drafts, image resizing, metadata passes, automated entirely.

Where we keep humans on the wheel

  • Taste. AI converges on the average of everything it’s seen, which is exactly what a brand paying for distinctive work doesn’t want. Direction, art direction, and the “this feels wrong” instinct stay human.
  • Strategy. Knowing which problem to solve. AI answers the question you ask; the expensive skill is asking the right one.
  • Client copy. Drafting assistance, yes. Publishing unedited AI text under a brand’s voice, no: readers notice, and increasingly, so does search.

The tell of AI done badly

Sameness. Generic gradient heroes, interchangeable copy (“Unlock your potential with seamless solutions”), a hundred thin blog posts published in a week. Google’s spam policies now specifically target scaled low-value content, the shortcut is also the penalty.

Our position

AI compresses production; it doesn’t compress judgment. Studios that use it well ship better work faster. Studios that use it as the product ship faster mush. The difference shows in the portfolio, judge ours.

Designing AI this way is the whole point of our AI design and integration service.

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