Lindgren: 80% AI output suffices in building engineering because the process is iterative
Niklas Lindgren · He spent $150K on brand before he had a product—closed $1.5M ARR in 1 month. | Endra · Aug 17, 2026 · at 21:36
Niklas Lindgren explains to host Pablo Srugo why 80-90% accuracy in generative AI outputs represents a billable deliverable for MEP engineers.
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“That's a like iterative process. So 80, 90% is like one deliverable and it's fine. That is not a hundred percent in that stage, but that's the full deliverable that you charge your customer for. And then as design develops, the architect comes up with a new building layout, which has another, like a, like another room in, in the left wing or whatever. You sort of iterate, iterate, iterate. There's a lot of time being spent on both, but sort of the greenfield design is, is usually around 80%, and then you iterate as design develops into a more and more detailed design, and that also consumes a whole lot of time, and that goes much, much faster once you do it in Android, because you don't need to do that in five, six different point solutions.”
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