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Antigravity in Practice: How insighteuquiz.eu Was Built

What this article is about

I’ve been working with ChatGPT for quite some time – mainly for text creation, brainstorming, idea generation, and structuring concepts. For this project, I deliberately used ChatGPT as a prompt and thinking partner, and then relied on Antigravity to implement a complete, functional website.

The result of this approach is the project: insighteuquiz.eu.

The project: insighteuquiz.eu

insighteuquiz.eu is an EU quiz that helps users learn about Europe in a playful way. The focus is on:

  • a clear and simple user experience
  • multilingual content
  • well-structured quiz questions with explanations
  • quick access without registration

It’s a good real-world example because it is:

  • not a small demo, but a real, live website
  • a combination of content, logic, and UI
  • complex enough to test how well a tool handles larger tasks

Why Antigravity was a good fit for this project

For me, the biggest advantage of Antigravity is its ability to handle larger tasks as a whole.

With insighteuquiz.eu, the goal wasn’t to generate isolated code snippets, but to deliver:

  • a complete site structure
  • working quiz logic
  • a usable and coherent interface
  • a result that can go live immediately

This is exactly where Antigravity performs very well.

ChatGPT and Antigravity: a clear split of responsibilities

ChatGPT: thinking, structuring, building the prompt

In this setup, I mainly used ChatGPT for:

  • brainstorming and feature ideas
  • structuring the project
  • writing texts and explanations
  • creating a comprehensive and precise prompt

That prompt defines what Antigravity should build – and what it shouldn’t.

Antigravity: implementation inside a real IDE

Antigravity then takes over the actual implementation:

  • full project structure
  • working features
  • all parts functioning together as one system

A major advantage is the IDE-based approach: you work directly in the project and can immediately adjust or extend the result.

Why a good prompt is the key

Antigravity works best when the task is clearly defined.

My approach:

  • a clear end goal (when is the project “done”?)
  • concrete requirements (features, content, structure)
  • clear boundaries (what should explicitly not happen?)

A short prompt checklist from practice

  • Goal: What should the final result look like?
  • Must-haves: Which features are mandatory?
  • Optional: What is nice to have?
  • Constraints: What should be avoided?

What I particularly like about Antigravity

  • Strong at large tasks: It can implement complex requirements end-to-end.
  • IDE-based workflow: Not just chat, but real project work.
  • Solid results: For this use case, it works very reliably.

An honest downside

The biggest drawback I’ve noticed so far:

Relatively high CPU usage while the IDE is idle.

I haven’t yet identified the exact cause. It’s not a deal-breaker, but it’s worth mentioning as a real-world observation.

Conclusion

For me, Antigravity is not a replacement for thinking or planning. It’s a very good execution tool when requirements are clearly defined.

ChatGPT is an excellent companion for:

  • text creation
  • idea generation
  • structuring
  • prompt design

The combination of both worked extremely well for insighteuquiz.eu.

Try it yourself

If you want to see the result of this workflow in action, feel free to try the project yourself:

👉 Try insighteuquiz.eu

Feedback, ideas, and suggestions are always welcome.

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