1. AI copy has recognizable patterns
“It’s not saving, it’s that.” Negation-then-correction. Numbered eyebrow headers. Copy that reads fluent but generic. Reviewers who have seen enough AI-assisted portfolios spot these immediately — and it pulls them out of the story you are trying to tell.
Using AI is fine. Shipping the first draft unedited is not.
2. AI-generated images undermine credibility
When hero images or case study visuals read as generated, reviewers question the entire project — not just the asset. First impressions set the frame for everything that follows.
Build key artifacts in Figma (or your actual tool) even when AI helps elsewhere. The metric chart does not need to be generated.
3. ATS is now audience number one
We used to say recruiters skim first. The priority has shifted: if your résumé does not parse and keyword-match, nothing else matters. Design your résumé for the matcher, then for the human.
4. The 80% bar moved
AI gets most people to “good enough” fast. That means good enough no longer differentiates. Craft needs to feel intentional — high-friction, considered, specific to you.
5. Returning candidates: keep iterating
Several folks came back from prior Fridays with updated work. That loop — review, revise, return — is exactly how these sessions are meant to work.
