Powered entirely by Ritual Testnet

AI-native Pixel Cat
Collectibles, on Ritual.

Click Generate. Ritual’s LLM Precompile writes the traits, the Image Precompile paints the pixel art, and your Siggy mints straight to Ritual Testnet.

ᓚᘘᗢ

1,000

Max supply

2

On-chain AI precompiles

6

Rarity tiers

100%

Generated on Ritual

Features

Why The Siggy

LLM Precompile

Ritual's 0x0802 precompile writes structured trait metadata for every Siggy — no manual prompts.

Image Precompile

Ritual's 0x0818 precompile renders each locked pixel-art prompt into artwork, fully on-chain.

Consistent Collection

A locked art-style prompt guarantees every Siggy shares the same framing, lighting, and Ritual-green background.

Fast & Async

Short-running LLM calls and long-running image jobs are tracked live in the UI, end to end.

Minted on Ritual

Metadata and artwork are pinned to IPFS, then minted as an ERC721 directly on Ritual Testnet.

Rarity Engine

Configurable trait weighting produces six rarity tiers, from Common to Mythic.

Pipeline

How it works

01

Connect

Connect MetaMask or WalletConnect and switch to Ritual Testnet automatically.

02

Generate

Click Generate — the LLM Precompile returns structured traits as JSON.

03

Render

The frontend locks a pixel-art prompt from those traits and sends it to the Image Precompile.

04

Mint

Image + metadata are pinned to IPFS and minted as an ERC721 on Ritual.

Infrastructure

Why Ritual

Ritual runs AI inference natively inside the chain’s execution layer, inside TEEs, cryptographically bound to the request that triggered it. That means The Siggy’s entire AI pipeline — the metadata engine and the image renderer — lives on-chain, with no centralized AI API in the loop.

FAQ

Questions, answered

What makes The Siggy 'AI-native'?+

Every trait and every pixel is produced by Ritual's own on-chain precompiles — no OpenAI, Claude, Stability, or HuggingFace calls anywhere in the pipeline.

Why do all Siggys look consistent?+

The LLM never writes image prompts. It only returns trait JSON. The frontend owns a locked base prompt and appends traits, so framing, lighting, and background never drift.

Where is the art stored?+

Generated images and metadata are pinned to IPFS via Pinata, then referenced from the ERC721 tokenURI.

What network do I need?+

Ritual Testnet (chain ID 1979). The app prompts an automatic network switch when you connect.

Your Siggy is one click away.

Traits by the LLM Precompile. Pixels by the Image Precompile. Minted by you.