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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score54

Snaptrude launches Agent for building designMachine translation

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AI introduction

Snaptrude has launched Agent, which it says can turn a site or design brief into an LOD 400 building model with structural and MEP systems and drawings, then return the work to designers’ existing software. The company says more than 2,000 designers have completed over 25,000 tasks with the agent in early access since September.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

AI 已经超越了代码和文本。如今,它正在设计人们生活和工作的建筑。

@snaptrude Agent 接收一块场地或一份设计任务书,就能生成可用于施工的建筑模型,其中结构、给排水、电气和全套图纸都已完成,而建筑师可以引导每一步。

这意味着 AI 已经开始处理由人制造、由施工团队安装的实体构件。过去,大多数用于建筑的 AI 只做到外形设计。这里的模型包含实际构件,由模型生成的图纸描述的是产品目录中确实存在的系统。

https://t.co/EVZcQTX18U

QuoteAltaf Ganihar@altafganihar
Translation
今天,我们推出 @snaptrude Agent,这是最先进的建筑设计智能体。 它与你一起完成真正的设计工作,从一块场地出发,生成包含结构、机电管线和图纸、可用于施工的 LOD 400 模型。之后,你还能带着原有的构件族,回到现有软件中继续工作。 大约 1 年前,我们押上整个公司,投入 AI。坦白说,这个洞见来自软件工程。就在不久前,自动补全还让人觉得是件大事;如今,工程师已经在指挥智能体编写大量代码。我认为,建筑设计方式也将迎来同样的转变,而且这一转变已经开始。 我遇到的大多数设计师并不缺技能,缺的是时间。想想每个设计团队都害怕接到的那通电话:客户将预算削减 30%。如今,这会让所有人都陷入难熬的 1 个月。有了这个智能体,你就是主导者。你决定从哪里削减成本,它就会更新布局、协调结构和机电系统,并重新绘制图纸。因此,当设计探索变得如此便宜,我们就能从 3 个方案增加到 300 个;方案越多,建筑就越好。 自 8 月以来,我们的用户已使用超过 1400 亿个 token。如今,Jacobs、Studio+、Kajima、VMDO、Dekker 等公司以及其他数百家公司都在使用 Snaptrude。在早期体验阶段,自 9 月以来,已有超过 2,000 名设计师通过这个智能体运行了超过 25,000 项任务。 我们还为此构建了一个基准测试 AECBench,因为在建筑、工程和施工领域,几乎正确的答案仍然是错的。它向 AI 提供与建筑师会收到的相同设计任务书,让 AI 在真实的 BIM 模型中完成设计,并根据任务书以及建筑师评审设计的方式给结果打分。我们今天公布首批结果,链接见下方。 感谢 @Accel 的 @prashanthp,以及 @foundamental 的 Shub 和团队,在这一切还只是一次押注时就支持我们;也感谢 Snaptrude 团队,是你们打造了这一切的每个部分。真的为你们所有人感到骄傲。 感谢我们的投资者 @scottbelsky、@andreasklinger、@thilokonzok、@immad、@CindyXBi、@DanilaVladi、@jmwass、rahulchaudhary、@adamecourt、Zach Ginsburg、Alex duff、Paul grossinger。非常感谢你们一路以来的所有帮助。
Original

Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.

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