5 AI Tools Every Architect Should Use

Overview

An architect warns that most AI tools for architecture are “completely useless.” Instead of relying on demos, they spent weeks testing tools through real projects, then consolidated a workflow that uses:

• Four tools they genuinely find useful
• One additional “always open first” tool

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1) Claude Desktop App (Compliance & Planning Assistant)

Purpose

Offloads non-design work before any drawing, including:

• planning
• code checking
• admin/document tasks

Work Modes

• Chat
• Co-work
• Claude code (code-free coding)

Claude code (code-free coding)

How it works

• Accepts plain-English prompts
• Writes and runs code automatically
• Uses:
  • full site data
  • local zoning code

Example task Checks a design against zoning rules such as:

• maximum building height
• setbacks (distance from plot edges)
• other constraints (e.g., pool, parking)

Verification / safety behavior

• Runs locally and asks for approval before actions
• Uses a strong model option: “Opus 4.8”
• Sets effort to max (more tokens / higher cost)
• Produces:
  • a 2-scale site diagram
  • a one-page feasibility report

Zoning rules accuracy claim (as tested)

• Claims it checks all 12 zoning rules
• Example passes all, but four rules barely pass:
  • roof height
  • rear setback
  • pool
  • parking
• Interpretation: the design sits at the legal limits, so it could fail with small construction deviations.

Capacity reporting

• Reports remaining capacity (e.g., 88 square meters left), supporting expansion ideas like a second story.

Double-checking

• Includes a second-pass calculation/check.

Important limitation

• Intended as a quick early check, not official approval
• Still requires using:
  • actual local building rules
  • proper surveyor measurements

Co-work (office workflow / document generation)

Workflow

• Granted access to a project folder containing files like:
  • room sizes
  • cost rates
  • project data
  • earlier feasibility report
• Claude:
  • reads the files
  • proposes a plan before generating outputs
  • asks a question, then builds

Outputs

• An Excel workbook with an area schedule and cost estimate
  • uses live formulas (not static entries)
• A Word planning statement

Budget checking example

• Example indicates the project is ~15,000 euros over
• It identifies the three most expensive rooms to target for cost reductions

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2) Higgs Field (Architectural Visuals: Images + Video)

Purpose

Create photorealistic visuals that resemble real photos, then animate them.

Image Generation

• Uses “GPT image 2” for photorealism
• Settings:
  • quality high
  • resolution 2K
  • 16:9 aspect ratio

Workflow

• Upload project reference(s)
• Generate multiple “shots” by varying prompts

Outputs

• eye-level views and multiple angles (e.g., poolside, living room, bedroom)

Warning

• AI visuals can still be “completely off”—always double-check before use.

Video Generation (from images)

• Switches to video mode and selects “C Dance 2.0”

Workflow

• Upload the first image
• “check eligibility”
• Set:
  • duration: 5s
  • quality: 1080p
  • aspect ratio: 16:9
• Paste camera movement instructions
• Generate short cinematic/drone-like clips

Additional variation

• Generates additional shots with different movement and ambient audio.

Editing into a final video

• Imports generated videos into CapCut
• Adds a consistent music track
• Avoids original audio because clips have different soundtracks

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3) Rayon (Browser-Based 2D CAD Assisted by AI)

Purpose

Convert a basic 2D plan into an editable CAD-like drawing, then produce axonometric views without heavy desktop CAD.

Workflow

1. Generate an editable DWG floor plan using Claude (prompted)
2. Open Rayon (runs entirely in the browser with AI built into the editor)
3. Import the DWG plan to obtain an editable 2D ground floor plan
4. Add furniture using a blocks/library with multi-view furniture (top/front/side)
5. Create an axonometric view:
   • take a screenshot of the plan
   • run it through Rayon’s AI axonometry tool
6. Result: an accurate-looking axonometric image derived from the 2D plan

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4) Meshy (Image-to-3D Reconstruction)

Purpose

Turn an axonometric/angled 2D depiction into a real interactive 3D model.

Workflow

• Upload the axonometric image
• Use Meshy 6 (set “model type” to standard)
• Generate a 3D model (claims about ~1 minute)

Key benefit emphasized

• Avoids manual 3D modeling in heavy tools (e.g., Blender/SketchUp/Revit)
• Particularly effective because the input is an angled 3/4 view, enabling Meshy to infer depth/volume

Notes on textures

• Texture modeling exists but is skipped because another tool is expected to handle texture work better.

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5) Veras (Architect-Focused Rendering: Consistent Style/Materials)

Purpose

Render textures/materials onto geometry without changing the architecture you built.

Why it differs from typical AI render tools

• Many AI tools invent a new building from text prompts
• Veras renders directly on top of your existing geometry
  • using screenshots exported from Meshy
  • preserving layout, proportions, and massing

Workflow

• Import Meshy screenshots into Veras (browser-based)
• Use style presets (example presets):
  • “enhance in forest” → photoreal render in a forest
  • “architectural sketch” → clean pen sketch on white paper
• Optional: use Compose for more manual control

Trial

• Mentions a 14-day free trial

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End-to-End Workflow (As Described)

1. Claude desktop app: compliance/code check + feasibility report + budget + planning documents
2. Claude + Rayon: generate/import DWG → editable 2D plan + axonometric image
3. Meshy: axonometric image → interactive 3D model
4. Veras: geometry consistency via screenshots → photoreal or sketch render
5. Higgs Field: generate photoreal images + animate into short cinematic videos
6. CapCut: assemble clips into a final edited video with consistent soundtrack

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Main speakers/sources (as presented)

• The video author/narrator (tested tools and explains the workflow)
• Claude desktop app (Anthropic; model referenced as Opus 4.8)
• Higgs Field (image/video generation; models referenced: GPT image 2, C Dance 2.0)
• Rayon (browser-based 2D CAD editor)
• Meshy (image-to-3D reconstruction; referenced as Meshy 6)
• Veras (architect-focused rendering; browser-based)
• CapCut (video editing)