Industry & Venture

Google Envisioning Studio Partners with Fashion Designers to Build Custom Workflow Tools Using Google Flow

Google's Envisioning Studio and Google Labs partnered with designers Jane Wade and Sergio Hudson ahead of New York Fashion Week to create custom AI design tools using Google Flow. Jane Wade utilized a 'Styling Suite' tool to virtually curate and balance runway looks before producing physical samples, while Sergio Hudson used a 'Runway Visualization' tool to manage set design and lighting within a strict budget.

The AI Multiverse Editorial Desk•Friday, September 18, 2026•3 min read

Reported viaGoogle AI Blog

Reader:

Executive Brief & 3-Point Takeaways

Google Envisioning Studio co-created custom AI tools with designers Jane Wade and Sergio Hudson using Google Flow.

Google Flow allows users to build bespoke tools using natural language without coding.

The tools successfully addressed virtual styling and budget-constrained runway visualization for New York Fashion Week.

Impact:

By providing no-code, custom AI tooling tailored to specific operational hurdles like fitting time and budget-constrained venue staging, AI can help designers bypass administrative and logistical friction to focus on creative execution.

Fact-checked against primary sourcesCategory: Industry & Venture

Google Envisioning Studio Partners with Fashion Designers to Build Custom Workflow Tools Using Google Flow

Illustration: AI-generated

Key Findings & Takeaways

Google Envisioning Studio co-created custom AI tools with designers Jane Wade and Sergio Hudson using Google Flow.
Google Flow allows users to build bespoke tools using natural language without coding.
The tools successfully addressed virtual styling and budget-constrained runway visualization for New York Fashion Week.

Analysis & Context

Google's Envisioning Studio, with support from Google Labs, collaborated with independent fashion designers Jane Wade and Sergio Hudson to streamline fashion production using Google Flow, an AI creative studio. Google engineers worked alongside the designers to build two specialized tools addressing specific operational challenges. Jane Wade's tool, Styling Suite, mapped runway model looks, allowing her to curate hair, makeup, accessories, shoes, and garments digitally to balance each look and identify missing elements before cutting and sewing additional pieces. Sergio Hudson's tool, Runway Visualization, simulated his runway to eliminate back-and-forth 3D rendering costs, enabling him to adjust venue setups, swap lighting and props, and refine model walking paths within a tight studio budget.

Why It Matters

Technical Details & Methodology

The custom tools were built using Google Flow, Google's AI creative studio. Users can build bespoke tools in Google Flow using simple natural language to describe the desired tool or workflow without requiring coding experience. The tools utilize digital modeling and 3D simulation to map runway looks and simulate venue setups, lighting, and model paths.

What Happened

Google's Envisioning Studio, backed by Google Labs, collaborated with fashion designers Jane Wade and Sergio Hudson to streamline fashion production ahead of New York Fashion Week. Using Google Flow, Google's AI creative studio, engineers worked alongside the designers to build two custom tools targeting specific operational bottlenecks.

Key Findings

- Jane Wade used the 'Styling Suite' tool to curate hair, makeup, accessories, shoes, and garments on digital models, reducing the need for extensive physical samples and cutting down typical three-day in-person fittings. - Sergio Hudson used the 'Runway Visualization' tool to simulate his runway venue, adjusting lighting, props, and model walking paths to stay within a strict studio budget. - Google Flow enables users to build bespoke design tools using simple natural language without requiring coding experience.

Technical Details

The tools were constructed inside Google Flow using natural language prompts to specify desired workflows. Jane's tool mapped every facet of runway looks on digital models, while Sergio's tool simulated 3D venue setups to bypass iterative rendering costs for lighting and props.

Why It Matters

Integrating custom AI tools into existing creative workflows helps alleviate administrative and logistical burdens, allowing designers to execute ambitious runway visions with reduced friction and tighter budget controls.