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

Snaptrude launches Agent for building design, says it can produce construction-ready modelsMachine translation

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AI introduction

Snaptrude says Agent can help designers turn a site into a construction-ready LOD 400 model with structure, MEP and drawings, then return the work to their existing software. The company says more than 2,000 designers have run over 25,000 tasks through the agent in early access; it did not specify when broader access will begin.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

@altafganihar @snaptrude 对建筑设计来说是重要的一天。

我很希望把这项技术用到那些做到一半、已经超出预算的政府基础设施项目中。

ReplyAltaf Ganihar@altafganihar
Translation
今天,我们推出了 @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,从场地设计到可用于施工、包含结构、机电(MEP)和图纸的 LOD 400 模型。之后,你可以带着完整保留的构件族回到现有软件中继续工作。 大约 1 年前,我们把公司的未来押在了 AI 上。坦白说,这个洞见来自软件工程。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。就拿每个设计团队都害怕接到的那通电话来说:客户把预算削减了 30%。如今,这意味着所有人都要经历糟糕的 1 个月。有了智能体,你就是指挥者。你决定从哪里削减成本,它会更新布局、协调结构和机电(MEP),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,而更多的方案意味着更好的建筑。 自 8 月以来,我们的用户已使用超过 1400 亿个 token;Jacobs、Studio+、Kajima、VMDO、Dekker 等数百家公司如今都在使用 Snaptrude。在早期体验阶段,自 9 月以来,超过 2,000 名设计师已通过该智能体执行了超过 25,000 项任务。 我们还为此建立了一个基准测试 AECBench,因为在建筑、工程和施工(AEC)领域,几乎正确的答案仍然是错的。它向 AI 提供与建筑师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审查设计的方式对结果评分。我们今天发布首批结果,链接见下方。 感谢 @Accel 的 @prashanthp,以及 @foundamental 的 Shub 和团队,在这还只是一次押注时就支持我们;也感谢 Snaptrude 团队,是你们完成了这一切的每一个部分。真的为你们所有人感到骄傲。 感谢我们的投资人 @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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