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I built a 3D campus with AI. Come take a walk.

Putting buildings, roads and viewpoints in one space makes scale and connections easier to discuss. Our first experiment starts at campus scale.

Glimsphere · AI Space LabAdded to the website10/16/20264 min
I built a 3D campus with AI. Come take a walk.
Concept cover illustration, not a photograph or a screenshot of the creator’s game. Original cover text is in Chinese.

Why begin with a campus?

What would you preserve if you recreated a familiar campus in 3D: a distinctive building, or the junction you cross every morning? In our first experiment, buildings, roads and viewpoints share a single scene.

AI Space Lab combines our own spatial experiments with analysis of other creators’ work. This article documents our campus project, beginning with its overall layout before moving toward buildings and rooms. It does not measure production time, cost or customer returns.

Look at connections as well as buildings

A building viewed alone draws attention to its shape and materials. In context, other questions emerge: how do you reach the main building from the entrance? Can you still see your destination after turning a corner? Do distances and relative sizes make sense?

The practical value of this experiment is being able to discuss those relationships in one space. An overview explains the layout; approaching a building reveals scale and access problems. One attractive still image can answer only some of these questions.

From layout to an explorable scene

Project records describe an automatic campus tour, building selection and camera movement, an exhibition map, free walking inside headquarters, and a route back to the campus. The public experience is linked below and may continue to evolve.

These are documented project capabilities, not a claim that the first episode demonstrated every feature. Episode 01 focused on campus scale; later guesthouse room selection and interactions do not belong to this first experiment.

Turn spatial checks into specific questions

Our suggested method is to check routes and scale before polishing details. This is a lesson drawn from the work, not a reconstruction of every production step. Give each viewpoint a question, then return to it after a revision.

  • Overview: are the entrance, roads and main buildings easy to understand?
  • Walking: can someone find the intended building from a junction?
  • Detail: do doors, windows and corners feel proportionate?
  • Return: can someone understand their location inside a building and get back outside?

Next, move into a room

A campus explains how buildings relate. A room brings furniture, light and human movement into focus. A chair that seems incidental from a distance may block a route when viewed from inside.

Episode 02 uses Thomas Ricouard’s house project to examine the path from requirements and a floor plan to Blender and real-time exploration. We want spaces that can be discussed and revised, beyond a single final image.

What this experiment can help discuss

The scene can support conversations about layout, visitor routes and presentation. This article provides no evidence of survey accuracy, construction-ready delivery or customer outcomes. The cover is a concept illustration, not a photograph of a real campus.

Which familiar place would you recreate: a school, a workplace or your hometown? Write down a place and one detail you want to preserve—a shaded path, steps or a doorway—to give the next experiment a concrete starting point.

Key Takeaways

  • Check buildings, roads and viewpoints together.
  • Give each viewpoint a specific question to answer.
  • Move from campus scale to individual rooms in manageable steps.

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I built a 3D campus with AI. Come take a walk. | Blog | Glimsphere