Karen X. Cheng's 4 tips for AI in creative ✍️
Cheng was kind enough to share her creative process with us during her keynote at our Infinite Canvas summit, leading to a flurry of questions and breathless enthusiasm from our host.
From that, we sussed out a model any creative leader can follow to become adept with, but not reliant on AI tooling as they shape the tech's role within their teams.
1. Connect your projects to your own tastes. 😋 No, I'm not trying to get you killed. While your proclivity for avant-garde-post-vegan-nu-wave should probably stay with your personal projects, there's something to be said for actively trying to find the correlation between the ask and your own preferences. Learn to love the brief.
2. Balance effort and impact. ⚖️ Are you burning your eyes out trying to get something usable out of AI for project Y? Don't. Don't let the hype machine's demand for AI ubiquity convince you that a project must be completed with AI. If it's not helping, it's not helping.
3. Enhance existing work with AI. 💪 Likewise, don't feel obligated to use AI exclusively on the ground floor of a project. If you're hitting a production wall, bring AI back around when it comes time to edit or enhance what you've already got.
4. Treat prompting like chemistry. ⚗️ A safe chemistry, where the only risk is looking silly to the tiny person who lives inside Midjourney. As Karen has learned, there's great utility to a no-bad-ideas approach. The most ridiculous experiments can sometimes be the most rewarding.
>> Read the blog
>> Watch the keynote
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