ViraLab AI

The AI copilot for ecommerce sellers—generate product images, create marketing videos, and publish directly to TikTok in minutes.

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ViraLab AI

Inspiration

If you've ever tried selling products online, you'll know how much time goes into creating content. You might use one AI tool for product images, another for videos, and then manually upload everything to TikTok or other platforms.

I kept thinking there had to be a simpler way.

So I built ViraLab AI — a place where you can upload a single product photo, generate marketing content with AI, and publish it without jumping between different tools.

What it does

ViraLab AI helps ecommerce sellers create content much faster.

With a single product photo, users can:

  • Generate high-quality product images
  • Turn those images into short marketing videos
  • Improve prompts automatically with AI
  • Keep all generated content in one place
  • Publish directly to TikTok

The goal is simple: one workflow instead of five different apps.

How I built it

I built ViraLab AI with a modern web stack:

  • Next.js and React
  • TypeScript
  • Supabase for authentication, storage, and the database
  • OpenAI for prompt enhancement and AI-powered features
  • Multiple AI image and video models behind a single provider layer
  • TikTok Login Kit and Content Posting API
  • Trigger.dev for handling long-running AI generation jobs
  • Vercel for deployment

One thing I wanted from the beginning was flexibility. Instead of tying the app to one specific AI model, I designed it so new models can be added without changing the user experience.

Challenges

The hardest part wasn't generating images—it was connecting everything together.

Handling AI jobs that can take several seconds, managing multiple AI providers, integrating TikTok authentication and publishing, and keeping the UI responsive all turned out to be much more challenging than I expected.

Making everything feel like one smooth workflow took far more work than any individual feature.

What I learned

This project taught me that building AI products is about much more than calling an API.

The real challenge is designing a workflow that solves an actual problem.

Along the way I learned a lot about:

  • AI workflow orchestration
  • OAuth integrations
  • Background job processing
  • Prompt engineering
  • Building scalable AI applications

More than anything, I learned that users don't really care which model is running behind the scenes—they care about getting their work done quickly and easily.

What's next

There's still a lot I'd like to add.

Some of the features I'm planning are:

  • AI-generated product descriptions and captions
  • Content scheduling
  • Shopify integration
  • Instagram and other social platforms
  • Brand-aware content generation
  • Team collaboration

My goal is to turn ViraLab AI into an all-in-one AI marketing platform that helps ecommerce sellers spend less time creating content and more time growing their business.

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