Dynamic Content Example with AIMD

Demonstrates using ai-script to request summaries and explanations.

Generating Content Dynamically

AIMD allows embedding instructions directly into the document. This can be used by AI agents to generate or modify content based on the context.

Section 1: Complex Topic Explanation

Quantum entanglement is a physical phenomenon that occurs when a group of particles are generated, interact, or share spatial proximity in such a way that the quantum state of each particle of the group cannot be described independently of the state of the others, including when the particles are separated by a large distance.

<!-- AI-PROCESSOR: The block below asks for a simplified explanation -->
{
  "script-id": "explain-entanglement-simple-v1",
  "prompt": "Explain the concept of quantum entanglement described above in simpler terms, suitable for a high school student.",
  "priority": "medium",
  "auto-run": false,
  "provider": "anthropic",
  "model-name": "claude-3-sonnet",
  "parameters": {
    "temperature": 0.6
  },
  "output-format": "markdown"
}

Section 2: Market Analysis Overview

The recent market trends indicate a significant shift towards renewable energy sources. Solar panel installations saw a 40% year-over-year increase, while wind energy investments grew by 25%. However, challenges remain in grid modernization and energy storage solutions.

{
  "script-id": "summarize-market-trends-v2",
  "prompt": "Provide a 2-sentence summary of the key market trends discussed in the preceding paragraph.",
  "priority": "high",
  "auto-run": true,
  "parameters": {
    "max-tokens": 50
  },
  "runtime-env": "server",
  "output-format": "text"
}

This demonstrates how AI can be instructed to perform tasks like simplification or summarization directly within the document flow.