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Givon AI — a creator workspace for AI content

One workspace where images, video, audio, references, and reusable assets stay connected from the first intent to a production-ready result.

case / ai productLive product

CREATE → KEEP → REUSE

Case study / givon ai
01

Context

Givon AI needs to behave like a commercial creator workspace rather than a set of disconnected generators. Intent, materials, references, reusable assets, generations, provider routing, balance, payments, and model operations belong to one product.

The hard part sits between product and engineering: the interface must remain content-first while the backend controls jobs, model routes, cost, media, billing, and operational state.

02

System

kizz develops the platform around a content-and-result-first workflow. Materials connect images, video, audio, references, and generation results so useful output can return to the creative process.

AI generation lives behind a controlled model, provider, and routing layer. The admin surface covers models, jobs, users, payments, failures, and service health after launch.

What was delivered and proven

  1. 01A connected creator workspace spanning content, reusable assets, generation, billing, and admin operations.
  2. 02Generation, cost, payments, and internal operations are managed inside the product rather than through disconnected tools.
  3. 03New modes and surfaces continue one shared workflow instead of creating another isolated generator.

Stack

TypeScriptC#Next.jsReactPostgreSQLAI providersBilling

Building an AI product with generation, payments, or media workflows?

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Describe the product, current stage, and next result.

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