Nasser Labidi presents digital tools as a way to navigate the growing number of glass combinations without reducing specification to guesswork. Performance targets, orientation, appearance and carbon data can be connected so that early design options are compared on the same basis.
Labidi presents digital glass tools as a way to connect questions that are often handled separately: optical appearance, thermal and solar performance, acoustics, structural sizing and embodied carbon. The value is not simply that a calculator returns a number faster. It is that designers can compare options while holding the project context constant, making trade-offs visible before a glazing build-up is fixed.
A technical assistant is only as useful as the question
Guardian’s AI interface is built around the company’s technical glass knowledge and is intended to answer questions about processing, coatings and more complex applications such as double-skin, curved or stepped glazing. Labidi’s emphasis is on specificity. A vague request produces generic guidance; a question that includes the real façade condition can narrow the response to something the design team can interrogate. That same logic applies to calculators. Designers can assemble a glazing unit and review thermal and energy performance alongside embodied-carbon data. In Labidi’s example, a lower-carbon substrate can be compared directly with a standard extra-clear option so the carbon consequence of the substitution appears on the same technical data sheet as the familiar glass properties.
Acoustic and structural checks belong in the same workflow
A separate acoustic tool allows users to build a glazing composition and estimate sound performance. The newer static tool takes geometry, fixing system and design loads and checks the proposed glass against European standard EN 16612. Those functions matter because glass is rarely selected for a single property: the make-up that solves heat gain may also need to satisfy deflection, safety and noise criteria.
Digital selection therefore works best as a sequence of linked checks rather than a single recommendation engine. The model can screen combinations quickly, while the specialist still verifies assumptions, boundary conditions and constructability.
Appearance needs realistic context
Visualisation tools address a different source of uncertainty: two products with similar headline performance can look quite different once sky, viewing distance, spandrel colour and reflected surroundings are introduced. Labidi describes an interface that lets the user change those conditions and compare products side by side.
This is particularly important for coated glass, where the same product can read differently across orientations or between vision and spandrel zones. A realistic visual test can reveal those mismatches before procurement.
Carbon becomes another design variable
Embodied carbon does not replace daylight, solar control or appearance; it joins them. The most useful digital workflow lets a team compare the environmental consequence of glass thickness, substrate and processing while still seeing whether the resulting unit meets the project’s other requirements.
Labidi’s underlying argument is therefore conservative in the best sense: use digital tools to expose more information, not to hide judgement. AI can retrieve technical knowledge, calculators can test build-ups and visualisation can show likely appearance, but the design team remains responsible for asking the right question and checking the answer against the real façade.
Different tools answer different glass questions
Labidi’s digital toolbox is deliberately split by task. A technical assistant uses a large-language-model interface to help navigate questions around processing, coatings, curved or stepped glazing and double-skin façades. A glazing calculator compares thermal, energy and embodied-carbon outcomes across glass options, including lower-carbon substrates. A separate acoustic calculator supports sound-control choices, while the static tool asks for geometry, fixing and load inputs before checking resistance against EN 16612 logic. The visualisation layer solves another problem: two products with similar numerical performance can look very different once sky reflection, spandrel colour, climate and the view through the building are included. That contextual preview does not replace a sample or mock-up, but it gives architects a better basis for narrowing options before physical review. The useful digital workflow is therefore a chain of specialised checks rather than one all-purpose “AI” answer.
Each tool narrows a different uncertainty, allowing the physical sample and final engineering review to focus on a smaller, better-defined set of glass options.