In this Light Talk bonus, Dean Skira walks Martin Klaasen through Taman, the web-based tool he developed to design street lighting from the site upwards. He shows the workflow step by step: importing a site image, drawing and naming layers, assigning road and pedestrian categories, letting the software position the poles and optimising the result, before Taman compares the ideal photometric curve with real products on the market. Dean also explains the role of machine learning, the 40 to 45 per cent reduction in luminous flux seen in real projects, and why the designer should still overrule the software when the context calls for it. It follows the full episode, Dean Skira: How One Designer is Revolutionising Street Lighting. Link: taman.tech