Adloom is an AI-powered canvas that turns one product photo into a complete ad campaign. This shot shows the core canvas: product photo → cutout → generated scene → finished feed ad, with variations, all on one surface.

The problem Product teams and small brands need a steady stream of fresh ad creative across many sizes. Traditional production is slow and expensive, with shoots, retouching, resizing and approvals. AI image tools help, but they scatter results across chats and tabs, so nobody can tell which prompt made which image.

The solution A node-based canvas where every generation is connected to its source and its prompt:

Upload anything: a phone photo is enough, and the background is removed automatically

Describe, don’t design: type a scene and choose the model and aspect ratio from a minimal two-line prompt bar

See the whole chain: inputs, prompts and outputs are linked, so iterating is just editing a step

Pick the winner: 4 variations per run, compared side by side

Stay on brand: the brand kit is applied automatically

Ship everywhere: export a full pack (feed 4:5 and 1:1, story, banner, profile, splash) in one click

Impact (target metrics)

Campaign assets in minutes, not days

~80% lower creative production cost

10× more variations for A/B testing

Design decisions

Light dotted canvas, so images stay the focus

One dark prompt bar as the single place to act

Lime accent used only for primary actions and selection

DM Sans throughout for a clean, product-grade feel

My role: product design, UX flow, UI and visual system.

The canvas feels well organised.