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Build a Complex Interactive 3D Application with an AI-Powered Debugging Loop

Build and debug an ambitious 3D AI application by combining v0’s code generation with streaming model output, durable execution, outside technical research, and custom visual diagnostics inside the app.

Build a Complex Interactive 3D Application with an AI-Powered Debugging Loop

Source episode · 25:17

How I AI: Guillermo Rauch (Vercel CEO) on how to vibe code to production with v0

with Claire Vo

Guillermo builds a 3D AI chess broadcast with Three.js, streams model thinking, uses durable Vercel Workflows, learns the unfamiliar mesh format from another model, and asks v0 to add visual debug controls.

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Before you start

What you need

  • A v0 project with Three.js support
  • Chess state and move validation
  • Vercel AI SDK and model access
  • Vercel Workflows for durable execution
  • A licensed 3D board and piece asset

What you’ll make

A running 3D AI chess broadcast that animates legal moves, streams useful model commentary, survives transient failures, and exposes mesh diagnostics.

Tools used

Step by step

The workflow

Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.

5 steps

Step01

Prompt for Core 3D Functionality

Ask v0 for the smallest end-to-end game: a Three.js board, individually selectable pieces, legal move state, camera controls, and a clear visual direction. Use a licensed asset whose nodes can be animated.

Example prompt
Build a 3D chess broadcast in Three.js. Render a licensed board and separately addressable pieces, maintain deterministic chess state and legal moves, support orbit controls and square selection, and present the scene like an over-the-shoulder sports broadcast. Start with one complete playable turn before adding AI players.
Step02

Integrate Real-Time AI Streaming

Connect two models through the Vercel AI SDK. Give each model the legal moves and current position, validate its selected move in code, and stream a short public explanation or commentary rather than private chain of thought.

Step03

Build for Durability with Workflows

Run the match as a durable workflow. Persist the game and turn state, use stable turn IDs, retry transient provider or compute failures, and prevent the same move from being committed twice.

This is crucial for apps that need to run indefinitely, like an ongoing AI vs. AI game.

Step04

Use AI to Understand Complex Code

When the asset or rendering code is unfamiliar, ask a separate model to explain the file format and scene graph. Verify its claims against the asset nodes and Three.js inspection output before editing.

Example prompt
Explain how this GLTF scene represents the board and pieces. Use the attached node and mesh listing. Identify whether pieces are separate nodes, instanced meshes, or one combined mesh, and propose the least destructive way to animate individual pieces. Cite the exact node or property evidence and do not modify code yet.
Step05

Prompt v0 to Build a Custom Debug Tool

Ask v0 to add an internal debug panel that visualizes the scene graph, mesh bounds, node names, materials, textures, selection state, and current move. Use it to confirm the asset model before repairing animation.

Example prompt
Add a development-only 3D debug panel. Let me inspect the scene graph, toggle wireframes and textures, show node and mesh names, render bounding boxes, select a piece, and display its transform and chess-square mapping. Keep it out of production builds unless explicitly enabled.

What good looks like

  • Pieces are individually addressable and move to legal squares.
  • The interface streams commentary without exposing hidden chain of thought.
  • The game resumes safely after provider or function failures.
  • Debug controls reveal mesh, node, material, and texture structure.

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After the steps

Runbook notes

How to recover when the loop fails and where human judgment helps.

Recover

If it goes sideways

The imported board and pieces form one inseparable mesh
Inspect the scene graph and asset license, identify nodes or submeshes, or replace the asset with one designed for animation.
The model proposes illegal or inconsistent moves
Keep chess rules and board state in deterministic code and ask the model only to choose from validated legal moves.
The UI exposes private chain of thought
Stream concise model-authored commentary or move rationale rather than hidden reasoning tokens.
Workflow retries duplicate a move
Make each turn idempotent with a stable game and turn ID, persist state before the next step, and ignore repeated completion events.

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