Google helped two designers build their own AI tools for Fashion Week. Here is what they actually did with them.
Jane Wade and Sergio Hudson used Google Flow to pre-style models and stage a runway on budget. The results walked at NYFW.
Key points
- Google's Envisioning Studio worked directly with designers Jane Wade and Sergio Hudson to build two custom tools inside Google Flow, the company's AI creative studio, for New York Fashion Week.
- Wade's tool, Styling Suite, let her try hair, makeup, accessories and garments on digital models before cutting a single sample, replacing up to three days of in-person casting and fittings.
- Hudson's tool, Runway Visualization, simulated his venue so he could swap lighting and props without paying for a fresh 3D render each time.
- Google says anyone can build a bespoke Flow tool by describing it in plain English, no coding needed.
- Both finished tools walked the NYFW runway, not a slide deck.
Ask an independent fashion designer where their day actually goes and the honest answer usually involves spreadsheets and vendor calls. Not sketching.
Google's Envisioning Studio, backed by Google Labs, tried to claw some of that time back for New York Fashion Week. Engineers sat with Jane Wade and Sergio Hudson and built each of them a custom tool inside Google Flow, the company's AI creative studio for generating video and image scenes.
Both tools solved a real chore. Neither pretended to design the clothes.
What did the designers actually build?
Two tools, each aimed at a specific bottleneck: pre-show styling and set staging. Both were built inside Google Flow using plain-language prompts rather than code, and both fed directly into shows that walked the NYFW runway.
Wade's tool is called Styling Suite. It let her dress digital stand-in models with hair, makeup, accessories and garments, then rebalance the look before anyone cut fabric. Casting and fittings in person can eat up to three full days for a design team. Doing a first pass on screen meant she could spot missing pieces early and only sew what the collection actually needed.
Hudson had a different problem: money. Every time he asked his production crew to tweak lighting or move a prop, a new 3D render of the runway had to be commissioned. His tool, Runway Visualization, simulated the venue so he could swap lights and props on the fly, and even redraw the models' walking paths. No fresh render bill each time.
| Designer | Tool | What it replaces |
|---|---|---|
| Jane Wade | Styling Suite | Up to 3 days of in-person casting and fittings |
| Sergio Hudson | Runway Visualization | Repeated paid 3D renders for set revisions |
Can normal people use this?
Yes, in the sense that Google Flow is a public product and it now accepts natural-language instructions to build small custom tools. You describe the workflow you want and Flow assembles it. My honest read: the fashion story is the wrapper, but the real news is Google quietly turning Flow into a build-your-own-tool sandbox for creatives, with two named designers as proof it works under show conditions.
A fair warning on privacy. Anything you upload to a Google AI product sits under Google's standard consumer terms, so don't feed it client photos or unreleased designs unless you've checked what account type you're on. Enterprise Workspace accounts handle data differently from a personal Gmail login.
Why this matters beyond fashion week
Most AI pilots in creative industries never leave the slide deck. What Google did here was co-develop tools that fit inside a designer's existing process rather than asking them to rebuild it. The designer stays in charge; the software handles the fiddly middle steps.
That's the same pattern we've been tracking across Google's recent run of announcements. Our 7 September story found much the same argument being made about designers broadly: AI handles the grunt work, people keep the creative decisions. Fashion is just the latest working studio Google can point at as evidence.
Whether small independent designers without a Google engineering team parked next to them can get the same results from Flow on their own is the thing to watch next season.
