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At Lightvision, we believe the next evolution of lighting design lies in the thoughtful integration of artificial intelligence—not as a replacement for designers, but as a tool to augment creativity, improve precision, and support better decision-making. We are actively exploring how AI can support lighting design across concept development, visualisation, research, and workflow efficiency, while maintaining the human judgement, design intent, and technical rigour that define our practice. As part of this exploration, we are keen to connect with AI design professionals, computational designers, and design technologists who are interested in shaping responsible, design-led applications of AI within a lighting-focused studio environment. Areas of interest include: • AI-assisted concept exploration and design narratives • Visualisation and storytelling tools for light and atmosphere • Workflow optimisation and intelligent automation • Data-informed design research and scenario testing We see this as an ongoing dialogue and collaboration, bringing together global perspectives to help define how AI can meaningfully support the future of lighting design.
ID do Projeto: 40169520
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Hello Lightvision Team, Your approach to AI as a design-augmenting tool rather than a replacement aligns closely with how I work with AI in creative and technical environments. My focus is on applying AI in a responsible, design-led manner—supporting precision, exploration, and decision-making while preserving human judgement and intent. I have experience working at the intersection of AI, computational design, and workflow optimisation, helping studios explore new ideas faster, visualise concepts more effectively, and reduce friction in research and production workflows. Rather than generic automation, I prioritise tools that remain transparent, controllable, and aligned with design rigour. I can contribute across: AI-assisted concept exploration and design narratives Visualisation and storytelling for light, mood, and atmosphere Workflow efficiency through intelligent automation Data-informed research and scenario testing to support design decisions I see this as an ongoing collaboration and dialogue—working closely with your team to prototype and refine AI applications that genuinely support the future of lighting design. I would be glad to discuss ideas and explore potential directions together. Best regards,
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