I built Iley, an AI image generation platform that merges image search and editing into a single workflow. The idea came from the constant back-and-forth between searching for the right stock image, downloading it, and then editing it elsewhere a time sink that slows down content and product design teams.
With Iley, you can generate or find visual assets instantly, then edit or repurpose them directly in the same interface. For example, if you’re writing a blog post about “AI-powered productivity,” you can generate an image that fits the article’s tone, adjust its lighting and composition, and export it — all without leaving the platform.
Under the hood, Iley runs on a model stack I call Nano Banana, wrapped with contextual filters and adaptive style control. This enables the system to understand both visual intent and output context (for instance, distinguishing between an image meant for a blog hero vs. one for an app UI).
The goal is to make visual content generation fully autonomou, where the system understands what you’re building and produces production-ready assets in seconds.
You can try it here: *[iley.app](https://iley.app)*
Would appreciate feedback on how well the unified workflow feels, and if there are specific integrations (APIs or CMS plugins) that might help developers and creators streamline their pipelines further.
Comments URL: https://news.ycombinator.com/item?id=45638489
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Source: www.iley.app
