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  1. Core Product Suite

Developer Toolkit Suite

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Last updated 22 days ago

With this set of tools, DeepCore is building a GitHub-style collaborative ecosystem for AI development, enabling everyone with a creative idea to become an architect in the age of Web3 intelligence.

Technical Implementation

  1. Visual Orchestrator (Drag-n-Drop UI)

  • Architecture: Built on React-Flow with 200+ predefined logic modules (data fetching, smart contract calls, ML inference), enabling complex workflow design via graphical connections.

  • Dynamic Code Generation: Converts drag-and-drop actions into Solidity/Python code in real-time, with automated gas optimization (27% average reduction).

Pre-Trained Model Library

  • Model Ecosystem: Integrates Hugging Face, OpenAI, and BNB Chain-specific models, covering 20+ vertical scenarios like DeFi arbitrage strategies and NFT metadata generation.

  • Federated Learning Support: Developers can fine-tune models with private data, with training processes verified via zkML (Zero-Knowledge Machine Learning).

Debugging Simulator

  • Multi-Chain Sandbox: with real-time gas analysis and state snapshot rollback.

  • AI-Powered Diagnostics: Leverages GPT-4 code interpreter to identify error sources and provide fixes (92% accuracy).

  1. IM Integration SDK

  • Atomic Interaction Protocol: Encapsulates Telegram Bot API and Discord Slash Commands to atomically bind message flows with on-chain operations.

  • Intent Recognition Engine: Converts natural language commands into smart contract calls via NLP (e.g., "Send 100 USDT to Alice" auto-generates BEP-20 interaction code).

Industry Paradigm Shift

Democratized Development

  • Creator Economy Rise: 41% of new Agents are from non-technical creators, including artists, traders, and community managers.

  • Knowledge Sharing Revolution: Debugging the simulator's error database accumulates solutions to form a decentralized knowledge graph.

Interaction Refactoring

Conversation as a Service (CaaS): Users perform complex operations through natural language commands.

Chained Behavior Visualization: Drag-and-drop process design makes smart contract logic intuitively understandable to users, driving Web3 mass adoption.