AI-driven engineering workflows are not a black box that spits out a finished design; they act as an assistant that surfaces options while engineers stay in the loop to validate steps and make final trade-off decisions.
Von Tschammer explains that Neural Concept's AI ingests specs, proposes a space of design options, and interacts directly with CAD and simulation tools, but engineers remain the ones guiding and validating decisions because engineering always involves multi-disciplinary trade-offs. ✦ AI generated
Thomas von Tschammer · The Cognitive Revolution · 2026-07-01 · original ↗
starts at this moment · 25:25
“So, where are we on this sort of language assistant um with like tool calling paradigm to intuition of design... Where are we on that in those relative paradigms? Do you are how are they starting to converge?”
Today what we've seen is that this AI-driven engine workflows are not in black box, right? They are today an assistant to the engineer so that the engineer can take the right data and form design decisions... We are rather in workflows where the AI ingests the spec sheet, understands the requirements, we set up the base model, but this will be done in interaction with the engineer.
verbatim transcript · starts at 25:25
25:25sending a spec sheet to the AI and expect the AI to get back to us as a black box with the best of class car, right? We are rather in workflows where the AI ingests the spec sheet, understands the requirements, we set up the base model, but this will be done in interaction with the engineer that will validate steps along the way and will also guide the model.
25:47Why is that? It's because engine is a very complex space where you never have one single answer. It's always trade-offs between disciplines, between costs, between design, between performance, right? But you want to have these domain experts in the loop that then ultimately can take the right trade-off decisions. But essentially we're moving from the world where, as you were saying with your with your daughter, where in the past you were relying on
26:11intuition, hey, my design doesn't work, but I think if I tweak it that way manually, it will work out, right? To a world where now the AI is providing a space of solutions, of options to the engineer, and then the engineer will explore that space and decide with which design they want to move forward eventually. And that means that here in that process, what is very interesting is
26:34that the AI is able to interact with the different tools, right? With CAD, we talked about CAD. So now the AI is able to interact with CAD, to send new geometries, is able to interact with numerical simulation solvers, right? Hey, I want to validate this design I came up with, and send that directly to the high fidelity simulation solvers and all of that becomes automated. >> So, what models are you serving as the
26:59co-pilots for engineers today? We're talking on Fable plus one and we're seeing all these incredible projects that people are just vibe coding their way to where 3D landscapes that are really becoming like extremely elaborate. The models are just kicking out. So, it sure seems like there's been some important thresholds crossed in terms of the models' ability to reason physically and use physics uh coding engines and things like that.