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EnterpriseNewv1.0L5 Semantic FrameworkUpdated July 2026

WebGPU Graphics Framework

Next-gen GPU programming for the browser — the future of Web3D

4.8(47 reviews)0.6K installs36 prompts6 stages3D / Web3D
GPT-4ClaudeCursor

WebGPU is the future of high-performance graphics on the web — and it's here now. WebGPU Graphics Framework is the first AI system purpose-built for WebGPU development. It encodes GPU programming expertise into prompt sequences that generate production-quality WGSL shaders, render pipelines, and compute passes. The 3D web is evolving — this framework puts you at the frontier.

Full Access Unlocked

All 36 prompts · All 4 modules

30-day money-back guarantee
Secure checkout via Stripe
Lifetime updates (currently v1.0)
Instant delivery after purchase

"The WGSL PBR shader prompt saved me a week. WebGPU documentation is sparse — this framework fills th..."

Soren H. · Graphics Engineer

Need expert implementation?

Hire an Orchestrator

Connect with a certified Prompt.Doctor Orchestrator to deploy this framework for you.

How to use this framework

No coding required. You will use ChatGPT or Claude as your AI tool. Follow these steps in order — do not skip ahead.

1

Purchase & download the framework

Click the buy button on this page. After checkout, go to the and hit Download .zip. Unzip it — you'll get a .md file (the full framework) and a .pdf (easy to read reference). Keep both open.

2

Open your project — new or existing

This dashboard is designed to integrate into any existing project or be built as a standalone app. If you already have a site in Airo (or Cursor, Bolt, etc.), open that project. If you're starting fresh, create a new project. The Orchestrator Prompt handles both cases — it scans what's already there and adds only what's missing.

3

Paste the Orchestrator Prompt into your builder's chat

Open the on this page. Copy the Orchestrator Prompt and paste it into your AI builder's chat. It will scaffold the full admin system — secure login, email marketing module, booking engine, and CMS — on top of your existing codebase. This takes 2–5 minutes.

4

Add your API keys as secrets

Critical — Novice Users

In your builder, go to Settings → Secrets and add the keys your app needs. For this framework: STRIPE_SECRET_KEY (for booking payments — get it from your Stripe dashboard), ANTHROPIC_API_KEY (for AI-assisted content — get it from console.anthropic.com), and DATABASE_URL (your MySQL connection string). No key is needed for the admin login, CMS, or email modules — those run on your existing infrastructure.

Don't have a MySQL server?

You can purchase a shared hosting plan with cPanel and MySQL at host.esgwon.dev. Once your account is set up, follow the step-by-step guide to create your database and connect it to your AI website builder.

How to set up cPanel MySQL & connect to your AI website →

Need help with Stripe?

Get your STRIPE_SECRET_KEY and STRIPE_PUBLISHABLE_KEY from your Stripe dashboard. The guide covers test keys, webhook setup, and going live.

Stripe API keys — setup & testing guide →

Need help with Anthropic?

Get your ANTHROPIC_API_KEY from console.anthropic.com. The guide covers model selection, cost management, and troubleshooting.

Anthropic API key — setup & model guide →

Prompting Airo after setup — always name the file

When asking Airo to add tables, columns, or features to the admin dashboard, always include src/server/lib/admin-db.ts in your prompt. Without it, Airo may target the wrong database. Example: "Add a bookings table in the admin database (src/server/lib/admin-db.ts) — do not touch any other database connection in this project."

See safe prompting examples →
5

Run the framework prompts inside your live app

Your app is now running in the builder's preview panel. Open the on this page, copy each prompt one at a time, and paste it into your builder's chat. Replace every [BRACKET] with your real data before sending. Work through the stages in order — each stage output feeds the next.

6

Test end-to-end, then publish or hand off to your client

Walk through the admin as a real user: log in, create a booking, send a test email campaign, update a CMS image, and run the Safe-to-Publish gate. Once everything passes, click Publish in your builder. Because this is a white-label dashboard, your client accesses it at /admin on their own domain — no Prompt.Doctor branding, no third-party login required.

Who is this for?

Graphics engineers building next-gen web experiences
Three.js developers ready to go lower-level
Game developers targeting the web with maximum performance
Research engineers building GPU-accelerated web tools

Everything you get

36 production-ready prompts across 6 workflow stages
WebGPU device initialization and capability detection
WGSL shader generation (vertex, fragment, compute)
Render pass architecture (forward, deferred, post-process)
Compute shader system (simulation, image processing)
Buffer and texture management patterns
Scene graph implementation
GPU performance profiling prompts
Lifetime updates — currently on v1.0

What's Inside

4 modules · 36 prompts · 6 workflow stages

Modules(4 total)

Device & Pipeline Setup

WebGPU adapter/device initialization, capability detection, swap chain configuration, and render pipeline descriptor generation.

7 prompts

WGSL Shader Generator

Generate WGSL vertex, fragment, and compute shaders for common graphics effects: PBR lighting, shadow mapping, particle systems, and image processing.

10 prompts

Render Pass Architecture

Forward rendering, deferred shading, and post-processing pass architectures. Includes G-buffer setup, lighting passes, and tone mapping.

9 prompts

Compute Pipeline System

GPU compute shaders for particle simulation, physics, image processing, and data-parallel algorithms.

10 prompts
Sample Prompts(36 total)
WebGPU Bootstrap·Claude

Generate a complete WebGPU initialization sequence in TypeScript. Include: navigator.gpu.requestAdapter() with fallback error handling, Device creation with required features and limits, Swap chain / canvas context configuration (preferred format), A basic render loop with requestAnimationFrame, Resize handling that recreates the swap chain, A helper class that encapsulates device, queue, and context. Add comments explaining each step and why the configuration choices were made.

WGSL PBR Shader·GPT-4

Write a physically-based rendering (PBR) shader in WGSL for WebGPU. Include: Vertex shader with position, normal, tangent, and UV attributes, Fragment shader implementing Cook-Torrance BRDF (GGX distribution, Smith geometry, Fresnel-Schlick), Support for albedo, normal, metallic, roughness, and AO textures, Directional light + point lights (up to 4), Tone mapping (ACES filmic). Add struct definitions for uniforms and vertex input/output. Comment the math.

Workflow Architecture(6 stages)

system

7 prompts

Stage 1

prompts

10 prompts

Stage 2

architecture

9 prompts

Stage 3

workflow

10 prompts

Stage 4

Everything included

WebGPU device & pipeline setup
WGSL shader generation
Render pass architecture
Compute shader system
Buffer & texture management
Scene graph implementation
Performance profiling prompts
Full Access Unlocked

What builders say

"The WGSL PBR shader prompt saved me a week. WebGPU documentation is sparse — this framework fills the gap."

SH

Soren H.

Graphics Engineer

You have full access

All 36 prompts across 4 modules are unlocked for your account.

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