🖥️Technical Architecture

Sylva AI is built on a hybrid decentralized architecture that strategically combines on-chain prompt registration with off-chain AI-driven content generation. This architecture is designed to balance security, verifiability, and computational scalability, enabling real-time multimodal content creation from diverse user inputs such as text, images, and audio.

1. On-Chain Layer

• Smart Contracts The core contracts include the User Contract and Service Contract. These are responsible for handling prompt submissions, enforcing fee logic, and emitting events for off-chain triggers. Prompt metadata including type, hash, and timestamp is logged immutably on-chain to ensure transparency and traceability.

• Verifiable Prompt Registration Prompts are registered via the writePrompt() function, which ensures all creative tasks are cryptographically linked to a unique prompt ID, enabling reproducible and auditable outputs.

• Asynchronous Response Retrieval Users interact with a readResponse(promptId) function to fetch outputs once processing is complete, ensuring efficient on-chain operations without blocking transactions.

2. Off-Chain Layer

• Event-Driven Backend Infrastructure A server-side listener (e.g., using Ethers.js or The Graph) monitors prompt submission events. Upon event detection, the system retrieves the full prompt and routes it to the appropriate AI pipeline.

• AI Processing Stack The backend utilizes a modular multimodal AI stack composed of:

  • Text-to-Audio (TTA) Engine for music and sound generation

  • Natural Language Understanding (NLU) modules for contextual parsing

  • Neural Vocal Synthesis for speech and singing generation

  • Prompt Engineering Layer for enriching and refining inputs before processing

• Off-Chain Storage and Indexing Generated outputs are stored securely off-chain and indexed by prompt ID for efficient retrieval and low-latency access.

3. Design Principles and Highlights

• Modular Responsibility Separation

  • On-chain: Manages payments, security, and transparent logging

  • Off-chain: Handles high-computation AI workloads

• Event-Driven Architecture Enables scalable and reactive processing by eliminating the need for continuous polling.

• Multimodal Compatibility Supports complex creative tasks across text, image, and audio domains using specialized AI engines.