AIAI for Architecture

Architecture Concepts

2 worked architecture concepts examples with 2 prompts. Each shows the input and the real output from Nano Banana and ChatGPT. The prompts for the first example are free to copy.

✦ Prompt → Image2 examples4 imagesGet the library

How to use these prompts

  1. Open Nano Banana (Google Gemini) or ChatGPT.
  2. If the example starts from an image, upload your own sketch, model screenshot, photo or plan.
  3. Paste the prompt and adjust the materials, light and style words to your project.
  4. Refine in the same chat, e.g. "keep the composition, change to dusk lighting".

About this lesson

Architecture Concepts is part of Vibe Coding: Build your own small design tools with AI, no coding background needed. Most of the 2 examples here run the same prompt through both Nano Banana and ChatGPT, so you can compare the two directly.

Example 01
Architecture Concepts – Example 1: After

The "Archivision Studio" Prompt

Prompt · Free prompt

Role: You are a world-class senior creative technologist and architectural designer. Objective: Build a high-end "Architectural Concept Development Studio" web application called Archivision. The app allows architects to upload a single sketch or massing model and automatically generates a suite of 7 professional analytical diagrams and visualizations using AI. Design Aesthetic (Recipe: Warm Organic / Refined Technical): Mood: Approachable, professional, and "crafted." It should feel like a boutique design tool, not a generic SaaS product. Palette: Use a warm off-white background (#F5F5F0), pure black for primary UI elements, and a muted olive-green (#5A5A40) for primary action buttons. Typography: Bold, tight-tracked display headings (Inter or similar) paired with clean, small-caps micro-labels for technical metadata. Layout: A split-pane layout. The left sidebar (approx. 450px) handles project inputs and status; the right main area is a generous, masonry-style grid for the generated results. Cards: Use large rounded corners (rounded-[2rem]) and subtle "card-shadow" depth. CORE FEATURES: 1. Image Upload: A drag-and-drop zone for architectural sketches or screenshots. 2. Sequential Generation: When "Develop Concept" is clicked, the app must sequentially trigger 7 specific AI generation tasks using the gemini-2.5-flash-image model: • Bird's-eye View: 45° top-down perspective. • Program Diagram: Color-coded 3D blocks for spatial functions. • Programmatic Exploded Axonometric: Vertically separated functional volumes with circulation arrows. • Urban Context: Monochrome isometric diagram showing city integration. • Architectural Section: Clean technical cross-section. • Floor Analysis: Vertical distribution of program with annotations. 3. Massing Diagram: A 3×3 evolution grid from site to final form. Progress Tracking: A real-time progress bar and status indicator showing which specific diagram is currently being processed. 4. Resilience: Implement exponential backoff retry logic and a 2-second delay between tasks to handle API rate limits (429 RESOURCE_EXHAUSTED). TECHNICAL STACK: Frontend: React, Tailwind CSS, Lucide-React icons. Animation: Use motion/react for smooth entrance animations of the generated cards and progress bars. AI Integration: Use the @google/genai SDK. Ensure image generation prompts are highly detailed, specifying "architectural competition style," "clean linework," and "no photorealism" for diagrams.

角色:你是一名世界级的资深创意技术专家和建筑设计师。 目标:构建一个名为 Archivision 的高端“建筑概念深化工作室”网页应用。用户(建筑师)上传一张草图或体量模型后,应用会用 AI 自动生成一套 7 张专业分析图和可视化图。 设计美学(配方:温暖有机 / 精致技术): 氛围:亲切、专业、有“手作感”。它应该像一个精品设计工具,而不是千篇一律的 SaaS 产品。 配色:使用暖米白背景(#F5F5F0),主要 UI 元素用纯黑色,主要操作按钮用柔和的橄榄绿(#5A5A40)。 字体:醒目、字距紧凑的展示标题(Inter 或类似字体),搭配干净的小型大写微标签,用于技术元数据。 版式:左右分栏布局。左侧边栏(约 450px)处理项目输入和状态;右侧主区域是宽敞的瀑布流网格,用于展示生成结果。 卡片:使用大圆角(rounded-[2rem])和细微的“卡片阴影”层次。 核心功能: 1. 图片上传:用于建筑草图或截图的拖放区。 2. 顺序生成:点击“Develop Concept(深化概念)”后,应用必须使用 gemini-2.5-flash-image 模型依次触发 7 个具体的 AI 生成任务: • 鸟瞰图:45° 俯视透视。 • 功能分析图:用颜色区分空间功能的 3D 体块。 • 功能爆炸轴测图:竖向分离的功能体量,带流线箭头。 • 城市环境:表现城市融合的单色等轴测分析图。 • 建筑剖面:干净的技术横剖面。 • 楼层分析:带标注的功能竖向分布。 3. 体量分析图:从场地到最终形态的 3×3 演变网格。 进度追踪:实时进度条和状态指示,显示当前正在处理哪张分析图。 4. 容错:实现指数退避重试逻辑,并在任务之间延迟 2 秒,以应对 API 限流(429 RESOURCE_EXHAUSTED)。 技术栈: 前端:React、Tailwind CSS、Lucide-React 图标。 动画:使用 motion/react 为生成的卡片和进度条做流畅的入场动画。 AI 集成:使用 @google/genai SDK。确保图像生成提示词非常详细,分析图要注明“architectural competition style(建筑竞赛风格)”“clean linework(干净线条)”和“no photorealism(非照片级写实)”。

Questions

Architecture Concepts

What do I need to do architecture concepts with AI?

Only Nano Banana and ChatGPT. Upload your source image and paste a prompt from this page. There are 2 worked examples here to follow.

Is Nano Banana or ChatGPT better for architecture concepts?

Most examples on this page run the same prompt through both tools and show the results side by side. Nano Banana usually keeps the composition and geometry of the input closer, while ChatGPT pushes the style further.

Can I use these prompts for client work?

Yes. The prompts can be used in your own design projects, competitions and portfolio.

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