Credit is not optional
Every listing names the models, the control methods and the human editing. Undocumented output helps nobody and ages badly.
A curated publishing platform for everything people make with artificial intelligence.
Connecting Ai App began with a frustration that anyone working with generative models will recognise. The work was good. The presentation was terrible. Finished projects lived in cloud folders, chat threads and half finished portfolio sites, and every time someone asked to see them the answer was a zip file and an apology.
So we built a platform with one job: take anything created with artificial intelligence and give it a page worth sharing. A page that loads in under a second, shows the work at full quality, credits the models and tools honestly, and tells a visitor in ten seconds what they are looking at.
We deliberately kept the definition wide. A diffusion series belongs here. So does a retrieval assistant, a fine tuned vision checkpoint, a synthetic narration library, a video pipeline, a dataset, and the prompt kit that made all of it repeatable. If artificial intelligence did real work in producing it, it has a home on this platform.
Every listing carries a tools field, and we treat it as essential rather than optional. Naming the base model, the control method and the human editing that followed is not a confession, it is the interesting part. It is also what lets the next person build on your result instead of guessing at it.
Synthetic voice and likeness are where this industry earns or loses trust. Audio listings carry a consent field, and a listing that cannot show a release for a cloned voice does not stay published. The same applies to datasets: provenance and licence sit next to the download, not three clicks away.
The front end is driven entirely from the admin panel. Fonts come from Google Fonts and are switchable per role, the type scale and colour system are numeric inputs rather than hard coded values, and the header, menu style, banners and footer are all composable. That decision was selfish: we wanted to restyle the whole site during a launch week without a deployment, and now everybody gets that.
Good AI work is not a lucky prompt. It is a pipeline somebody documented, tested and then had the confidence to show in public.
Next on the roadmap: collections that let a studio group a body of work under one cover, richer evaluation tables for model pages, and an API so a pipeline can publish a finished render the moment it leaves the render queue.
These are the rules the platform is built around, and the reasons behind most of the product decisions we make.
Every listing names the models, the control methods and the human editing. Undocumented output helps nobody and ages badly.
Cloned voices and real likenesses need a documented release. No release, no listing, no exceptions.
Images are optimised on upload and pages ship without heavy frameworks. A gallery should open before the visitor loses interest.
Fonts, colours, header, menu style, footer and every home section are editable. We will not ask you to open a template file.
Four of us, split across product, engineering, design and research.
Spent nine years building publishing tools for photographers before turning the same attention to AI work.
Backend and inference infrastructure. Believes a fast page is a feature and a slow one is a bug.
Type, grid and colour. Designs the templates that make an upload look like a considered release.
Evaluation, safety and model documentation. Writes the checklists nobody enjoys and everybody needs.
Licensing, consent, file limits and how much of the design you control.
Bring an image series, an assistant, a model card or a sound library. We will make it look like a release.