Scene hook
At 10 last night, I was still replying to a client’s revision requests, with only one thought in my head: please don’t let me pick the wrong tool again. I know that anxiety too well. I’ve been stuck there myself—working hard, yet still ending up with a narrow view of the options.
What this is + who’s already using it
What caught my attention this time wasn’t some flashy feature, but a signal: Chinese-language models are catching up to the front line faster. In this AI news piece from Latent Space, the discussion centered on Moonshot’s new Kimi K3. The real point wasn’t “here comes another new model,” but that a lot of practitioners are starting to treat it as a serious option. On Thursday afternoon, at a cafe on Wantang Road in Hangzhou, Xiaoyu—a creator who sells knowledge products—was editing her livestream outline and told me she’s recently started testing Chinese models alongside overseas ones, instead of assuming the more expensive one must be more reliable. That snapped something into focus for me, because I’ve made the same mistake before: assuming only big international names deserved a place in my workflow.
What it would cost to copy today
If we want to keep up with shifts like this, the replication cost is actually low: RMB 0-20, about 30 minutes, and the technical barrier is basically just knowing how to register for a web tool and copy-paste prompts. The first step isn’t fiddling with complex settings. It’s simply opening the “new chat” button in the AI tool you already use, then testing the same Chinese task across models once each—writing copy, revising an outline, summarizing a client recording—and seeing which one sounds closer to how we actually want to express ourselves. Not everyone needs this right away. If client volume is low and delivery is already stable, it’s fine not to test yet.
Advice by stage
If I were just getting started, I’d use it first for low-risk tasks like headlines, short posts, and livestream outlines—save time first, no rush to switch everything.
If I already had 1-2 clients, I’d give the same task to two models and compare them, focusing on Chinese tone, number of revision rounds, and cost.
If I were scaling up, I’d start keeping a simple spreadsheet to track how different models perform on customer support replies, content production, and research organization, so the team isn’t choosing tools on gut feeling alone.