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Case study

Signal Lab

A mobile-first workspace for AI video and image generation across model providers.

Pre-release
Generated concept visualization of the Signal Lab intelligence workspace

The problem

What the work needed to solve

Create a clear creative workflow for prompts, model choices, media jobs and result management without locking the product to one generation provider.

Implementation

What I built or changed

  • Built provider-ready AI video and image generation routes around Google Veo and Gemini.
  • Added job state, gallery, templates, prompt assistance and a focused mobile workspace.
  • Integrated authentication, usage controls, object storage, rate limits and payment foundations.
  • Designed observability and webhook boundaries for production operations.

Stack

Tools used in context

  • Next.js
  • TypeScript
  • Gemini
  • Veo
  • Supabase
  • Cloudflare R2
  • Clerk
  • Paddle

Evidence

Status before claims.

This project is documented from its local implementation. No traffic, revenue or production-impact metric is presented before it can be verified.

Limitations

What this evidence does not prove

  • The product is pre-release and provider costs, moderation, latency and output quality still require production evaluation.

Next work

What comes after this snapshot

  • Complete provider evaluation and failure-state testing.
  • Validate billing, rate limits and storage lifecycle in staging.

Next step

Have a product or technical problem that needs to become a release?

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