AI is already changing lighting design, but Daniel Green is asking a better question - what happens when it starts helping us think, not just render? In this conversation, he reveals how DUSK turns rough sketches, reference photos, and even bare text prompts into lighting concepts that feel fast, visual, and surprisingly tailored to real design intent.
Martin Klaasen sits down with Daniel to trace the unlikely path from product design student to lighting technologist, digital artist, and builder of tools for the industry. Daniel explains how early experiments with Midjourney, DALL-E, and Google AI Studio led to the idea for Dusk, and why the biggest breakthrough was not prettier images, but a more approachable workflow for lighting professionals.You’ll discover:
- Why Daniel built Dusk as a lighting-specific AI agent instead of relying on generic tools like ChatGPT or Gemini
- How the tool handles concepts like beam angle, colour temperature, wall grazing, focal glow, and realistic placement
- The difference between the cloud-based GPT agent and the developing local version, Dusk Studio
Lumviewer is a separate photometric tool for uploading LDT and IES files, comparing luminaires, and exporting quick side-by-side PDFs for real-world decision-making. Together, the two tools point toward a bigger vision: a workflow where AI supports lighting professionals from early mood boards all the way to more informed product selection.
**Learn More (quick links):**
- DUSK GPT Agent - https://chatgpt.com/g/g-6a08c167038c81918596a91c726ff4b2-dusk-gpt
- DUSK Website, which announces the migration to a plugin for ChatGPT, and the development of DUSK Studio. - https://dusk-ai.co.uk/
- Lumviewer - https://lumviewer.replit.app/
- My Website - https://bloqdigital.co.uk/
**Connect with Daniel:**
- My Substack - https://curativbloq.substack.com/
- My Blog - https://pckt.blog/b/bloqdigital
- Bluesky - https://bsky.app/profile/bloqdigital.pckt.cafe
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