AI creative production generates the long tail of brand assets (format variants, localised versions, product shots, copy for every channel) from a client’s own guidelines and licensed material, and checks each one against the brand before a designer approves it.
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The hero campaign is not the bottleneck. The bottleneck is what follows it: forty sizes for every placement, versions in six languages, seasonal swaps, product variants, copy cut to every character limit. It is skilled work done at the level of a production line, and it is where generic AI image and copy tools disappoint, because they produce something that looks plausible and nothing like this particular client.
The difference is what the system is built from. Ours starts with the client’s guidelines turned into checkable rules (palette, type, logo clear space, tone, forbidden words, legal lines), a library of assets the client has the rights to use, and approved examples of the work. Generation is constrained by those, and every output is checked against them before it reaches a person. The designer’s time goes on taste, not on correcting a hex value.
the campaign a person signed off
from licensed assets and rules
colour, type, logo, copy, claims
approve, edit or reject
to the DAM with provenance
failed checks, with the reason
It can get close when the guidelines are turned into rules the system can check, and when generation starts from the client’s own licensed assets and approved examples rather than from a blank prompt. Exact elements, logos, legal lines and product shots, are placed rather than generated. A designer still approves every batch, because judgement about whether something feels right is not a rule.
It depends on the jurisdiction and on how much human creative input went in, and the law is still moving. Purely machine-generated material may not attract copyright in some places. That is one reason we build from assets the client already owns and keep a designer’s selection and editing in the loop, and why ownership terms belong in the client contract.
The EU AI Act requires disclosure for AI-generated or manipulated content that could be taken as authentic, such as realistic images of real people or events, and platforms and advertising codes add rules of their own. We embed provenance metadata and can add visible labels; whether a given asset needs disclosure is for you and your client to decide.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.
Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.
Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.
We start from one client’s guidelines and a real production backlog.
30-minute technical call · no deck