wovain

A Qloo-powered agentic print-on-demand app for independent designers. Qloo finds who would buy and what else they love, Tavily finds why now and checks the evidence, NVIDIA Nemotron on Nebius Token Factory writes and judges the drop, and you approve the Fourthwall products and a paused Meta campaign.

• Video: https://youtu.be/s-vzNtS2V_U
• Demo for the Nebius x NVIDIA Global AI Hackathon: https://nebius.wovain.com, a build frozen for judging. It runs the same code and Nemotron models as next.wovain.com.
• Demo: https://next.wovain.com (the hackathon build; see Demo login)
• Production: https://wovain.com runs the 2026-10-27 build, frozen for another hackathon's judging until 2026-11-16. The features this README marks "on next" are not on it.
• Docs: https://docs.wovain.com, or apps/fumadocs locally
• License: MIT

The seller flow runs on the website and in ChatGPT, both backed by one Next.js 16 app:

Qloo taste graph → Tavily evidence → you pick ideas → Nemotron brief → fal draws the art → the Nemotron judge looks at it → you approve → Fourthwall products → Nemotron ad copy → a paused Meta campaign targeted from Qloo demographics.

Vision

wovain is apparel on demand for brands and big companies, starting with solo sellers. A brand that can measure what each audience segment loves can run many small drops, one per segment, and make each piece only when someone orders it. Today wovain is print-on-demand for solo sellers and small labels.

Demo login

Judges share one ready account on next.wovain.com:

1. Open https://next.wovain.com/login.
2. Sign in with [email protected] and the password in the Devpost testing instructions.
3. You land on the overview. Its Start here checklist shows what's left: the brand is set, and the agent drafts only (hidden products, paused campaigns) within a $5 daily spend cap.
4. On Billing, redeem the judges' code from the Devpost testing instructions if the credits aren't there yet. It works only on this account and covers about 17 full drops.

The password and the code are never in this repository. The owner seeds the account with pnpm --filter @wovain/auth seed:judges --env next (infra/README.md).

A 3-minute path:

1. New drop. Type a brief that names something Qloo knows, for example "Studio Ghibli", and start the run.
2. Ideas. Each idea card has a "Why this idea" panel with the Qloo entities, tag, affinities and style cues behind it, plus the Tavily sources, competitor prices and an on-demand research dossier. Tick two ideas and press See designs.
3. Designs. Each design shows the judge's verdict, the checks the vision model ran on the drawn art, and any trademark findings with links. Approve one.
4. Products and ads. wovain lists the approved design on Fourthwall, writes the ad variants and stages a paused Meta campaign.
5. Which model did what. In Runs, open the run's Models link (/dashboard/models?run=<id>, "Which model did what") to see every agent call with its Nemotron model, time and result.
6. No Qloo match. Start a brief Qloo can't place, like "asdf qwerty". The run stops with "Qloo found no audience for this brief; try naming a band, film, brand or place", shows suggestions with examples, and offers Write a new brief.

Nemotron on Nebius Token Factory

wovain calls NVIDIA Nemotron on Nebius Token Factory through its OpenAI-compatible endpoint (NEBIUS_BASE_URL, https://api.tokenfactory.nebius.com/v1/) with one key, NEBIUS_API_KEY. The app code holds no model ID. Each one is an env var that Pulumi sets per environment: infra/next/Pulumi.next.yaml for next.wovain.com, infra/Pulumi.prod.yaml for production and dev.

Which model does what

With the model-routing flag on (dev and next.wovain.com; off in production), each agent asks for a job, and the job's env var names the model (packages/core/src/model-router.ts, AGENT_ROLES in packages/mastra/src/mastra/agents/kit.ts):

Job	Env var	Model on next.wovain.com	What runs on it
Default	NEMOTRON_MODEL_DEFAULT	Nemotron 3.5 Super VL (nvidia/Nemotron-3.5-Super-VL)	Design brief and listing (draftBrief), ad copy (writeAdCopy), and the LLM-only arm of the offline Qloo ablation eval (llm-themes.ts)
Reasoning	NEMOTRON_MODEL_REASONING	Nemotron 3 Ultra (nvidia/Nemotron-3-Ultra-550b-a55b)	The design judge's verdict (judgeDesign), autopilot's idea pick and go/no-go (pickIdea, reviewDesign)
Vision	NEMOTRON_MODEL_VISION	Nemotron 3.5 Super VL	The judge's eyes. It reads the drawn PNG for a garment or mockup as the subject, a background, cropping, printed words that differ from the brief, and art that disappears on a shirt color
Fast	NEMOTRON_MODEL_FAST	Nemotron 3.5 Lightning (nvidia/Nemotron-3_5-Lightning)	Ad judges (copy quality, Meta policy), Mastra scorers, prompt-injection and PII guardrails
Safety	NEMOTRON_MODEL_SAFETY	Nemotron 3.5 Lightning	Mastra moderation on what the merchant publishes

With the flag off, as in production, every agent uses NEMOTRON_MODEL (Nemotron 3.5 Super VL) and the judge's vision check uses NEMOTRON_VISION_MODEL. The docs chat runs on DOCS_CHAT_MODEL (Nemotron 3.5 Lightning, reasoning_effort: none, at most 400 output tokens, rate limited per visitor).

This is the beginning of the README. Read the rest at the original. Read the full README ↗