AI Knowledge Base Automation AI-powered knowledge retrieval and contextual response automation — ...AI Knowledge Base Automation AI-powered knowledge retrieval and contextual response automation — ...
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AI Knowledge Base Automation
AI-powered knowledge retrieval and contextual response automation — built with n8n, OpenAI, Supabase, and structured business knowledge.
Some quick mockups for Relay, an AI infrastructure platform concept built around model routing, observability, and performance.
Exploring what a mobile command center could look like for teams managing multiple AI models, with a focus on clear data, fast decisions, and a developer-first UX.
Product design, mobile UI, AI tools, and a little systems thinking all in one.
Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
The question is basically: what's the context behind the decision?
AI can generate 100 packaging options. It can't tell you which one makes sense for a brand expanding into a market where soft pink reads very differently than it does back home. Or why the typography from three...