6. AI Layer

The AI layer is the brain of QuantumGround—responsible for interpreting user prompts, selecting and customizing modules, generating smart contracts, and preparing apps for deployment. This layer transforms natural human language into machine-executable Web3 applications.

6.1 Prompt Parsing & Intent Extraction

Using large language models (LLMs) fine-tuned for Web3 development tasks, the AI layer performs:

• Intent recognition: Determines what the user wants to build (e.g., DAO, NFT marketplace, staking system)

• Entity extraction: Captures names, rules, thresholds, assets, and user roles

• Contextual awareness: Remembers prior inputs in session, supports multi-step refinement

6.2 Module Selection Engine

Once a prompt is understood, the AI automatically:

• Maps intent to matching Ground Modules

• Assembles compatible modules into a complete system

• Dynamically modifies module parameters based on prompt details

Example: “Create a staking pool with a 7-day lockup and 20% APR” → Selects staking module, sets lockup = 7 days, APR = 20%

6.3 Code Generation & Assembly

The AI system generates:

• Solidity smart contracts (BSC-compatible)

• JSON front-end configuration schemas

• Deployment metadata (gas estimate, addresses, ownership settings)

LLMs are augmented with deterministic templating logic to ensure code security, consistency, and testability.

6.4 Safety, Accuracy & Governance

To reduce risk:

• Static analysis & linting are run on all generated code

• AI Guardrails enforce logic limits (e.g., max supply, ownership rules, non-reentrancy)

• All generated contracts are previewed before deployment

• Optional “Human-in-the-loop” audit mode allows power users to verify before launch

Future iterations will integrate Reinforcement Learning from Human Feedback (RLHF) to continuously improve AI output quality.