I’ve been using various models to create 3d representations of various famous global landmarks when I’ve got some spare allowance … if you’re interested to see how they compare visit : https://civitas.reneo.app/compare.html#h=11&scope=models&tag...

If you want any, feel free to grab em by the source (MIT I think ?) and if you have better ones - please add !!

I'm a PE who has been tinkering with LLMs for a few years now. Opus 5.5 does seem to be a game changer for drafting. I don't generate with python tho, I have it drive AutoCAD headlessly and use our firm's drafting standards/templates. Its a junior-level EIT at first, but I give it redlines via Bluebeam MCP and it updates the relevant CAD SOP for all future sessions.

Given how good the leading models got at 3D model creation over the past few months - Blender, Three.js, etc - it's not surprising to see that their 2D CAD-style abilities have improved to this extent as well.

(Amusingly the pelican-on-a-bicycle test doesn't capture this very effectively, despite testing 2D drawing with SVG - because pelicans can't write bicycles, so the results are inherently unrealistic. Having the model create an architectural diagram from a concept sketch is a much more useful 2D test.)

I worked almost 15 years in commercial concrete. My day to day tools were Revit and Bluebeam. As a little fun project I built a replica of them and they work surprisingly well. I was able to detail some of my previous jobs in an hour which took me weeks before. It is truly crazy the time we are living in.

Pretty big claim, attention grabbing for sure.

Might be nice to scope out where exactly it is good and where it is lacking ; residential vs commercial vs industrial , A vs S vs MEP, style of architecture? We need better benchmarking here to substantiate.

AI can draw that plan for you if you give it the prevailing wind and the summer and winter sun data. But it can't take a soil sample from the land for you, and it can't know what kind of soil it is or what that soil will or won't tolerate. From a distance it can offer a nice picture, but without data it can't reach reality.

Washington State is trying out a 'Permit-Ready Plans' program in a few cities, were pre-approved plans are offered at no cost. According to their initial study, building plans account for 5-20% of total construction costs. Software that might be able to shave 10% off new construction costs is a big deal.

I don't know how much time is spent 'drafting' at architecture practices vs modelling.

The drawings can be resolved from a data-enriched 3D model, which is normally where the hard hours go.

It would be interesting to add Deepseek 4.1 flash 1017 into this lineup. Deepseek's vision and 3D modeling capabilities are very impressive.

A big reason LLMs can write code productively is cause software dev tends to be pretty resilient to failure. And at the pessimistic end, lots of companies can make money off buggy products, so it’s easy to hand wave the failures away. Does that hold true for architecture?

That being said, I’m certain they’ll be extremely useful in other areas such as review, auditing, etc - if those even matter for architects.

I feel bad for all the inspectors who are going to have to do inspections on vibe-architected buildings in the next 12-18 months.

A single article by this person on Substack.

Lots of examples, sketches, and revisions, especially for the favorite model mentioned:

“Opus 5.5’s initial draft was the best, so I gave it the most feedback”

This shows that an experienced person is still needed:

“With the right guidance, Opus 5.5 is arguably better than the low end of the human market.”

Furthermore, the same problems arise as in software development:

“And, even after my redlines, the details contain some subtle errors that wouldn’t be made by a skilled architect with experience in this type of construction.”

And later:

“more than 15,000 lines of Python code”

as well as

“it took Opus 5.5 twelve hours to draft the house set, and the compute cost a few hundred dollars.”

The exact costs would have been interesting to know, since it’s safe to assume that prices will continue to rise (and must), which makes the comparison with a human interesting again—one who, in the end, will be needed once more.