This is a really compelling direction—what stands out isn’t just “AI generates designs,” but that you’re treating design as an iterative, thinking-driven process rather than a one-shot output.
The use of a ReAct-style agent is especially interesting. Letting users see the reasoning loop (instead of hiding it behind a polished result) feels like a big step toward making AI tools more trustworthy and collaborative, not just magical black boxes.
I also like the focus on brand awareness + refinement. A lot of AI design tools break down after the first generation, but real workflows are about adjusting, aligning, and improving. The idea that you can guide the system with natural language and keep evolving the same artifact is where this becomes genuinely useful, not just a demo.
If I could suggest one direction to push further:
you might explore stateful design memory—where the system remembers past decisions (layout choices, tone, constraints) across sessions. That could turn OrkaJS from a tool into more of a design partner.
Overall, this feels like a solid foundation for bridging LLM reasoning with real creative workflows. Curious to see how far you take the “AI as a co-designer” idea
