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Build with AI

Learn how to integrate AI capabilities into your Spark applications to create intelligent Bitcoin-native experiences.

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Overview

AI integration on Spark opens up new possibilities for automated trading, intelligent wallet management, and smart contract-like functionality using Bitcoin’s native capabilities.

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Prerequisites

  • Basic understanding of Spark SDK
  • Familiarity with AI/ML concepts
  • Node.js or Python environment

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Getting Started

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AI-Powered Trading Bots

Create intelligent trading bots that can:
  • Analyze market conditions
  • Execute automated trades
  • Manage risk through Spark’s instant settlement

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Smart Wallet Features

Implement AI-driven wallet features:
  • Transaction categorization
  • Spending pattern analysis
  • Fraud detection
  • Automated savings strategies

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Example Use Cases

  • Automated DCA: Dollar-cost average Bitcoin purchases
  • Portfolio Rebalancing: AI-driven asset allocation
  • Payment Optimization: Smart routing through Lightning
  • Risk Management: Automated stop-losses and position sizing

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Next Steps

  • Explore AI SDK integrations
  • Build your first AI-powered Spark app
  • Deploy intelligent trading strategies