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Gallery/第4回 Agentic AI Hackathon with Google Cloud/BrickQuest
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Award of Excellence — 第4回 Agentic AI Hackathon with Google Cloud 2026

BrickQuest

An app that suggests what you can build with the bricks you own. It recognises parts from photos to build an inventory, and once you pick a theme and difficulty the AI generates a 3D build sequence. A physics engine checks it for overlaps and floating pieces, reports the faults and makes the AI redo it, up to three times.

Event
第4回 Agentic AI Hackathon with Google Cloud
Organizer
Zenn (Classmethod) / Google Cloud Japan
Year
2026
Region
Japan
Prize
Award of Excellence
Tech
Google CloudGemini 3 ProCloud Functions (2nd gen)FirestoreFirebase App HostingNext.jsReactThree.jsTailwind CSSZustandTurborepoGitHub Actions

From the organizer's citation (summary)

Judges called the premise, what can I build with the bricks I already own, highly relatable, and found the physics-engine verification loop technically interesting. They also credited a consistent finish from problem framing to experience design.
A summary of the commentary the organizer published. See the source for the original wording. Zenn (Classmethod) official results

Why It Won — our reading

The core design decision is refusing to take the model's output on trust. A build sequence collapses the moment a single step is impossible, so running the result through a physics engine, checking for overlaps and floating pieces and feeding the specific fault back in words is probably what turned a plausible-looking list into something you can actually build. Capping the loop at three passes reads as an operational judgement too, a trade between wait time and quality.

This is our own analysis based on the official announcement and the project's own materials. It is not the organizer's stated reasoning.
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Check the original

The links below lead to external sites.

Summaries are written by this site. Project pages include demo videos, screenshots and the team's own write-up (videos may autoplay).