{
  "description": "Progressive web learning strategy for infinite agentic loop variant generation",
  "priming_urls": [
    "https://docs.anthropic.com/en/docs/claude-code/tutorials",
    "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview",
    "https://www.promptingguide.ai/techniques",
    "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/chain-prompts"
  ],
  "iteration_urls": {
    "foundation": [
      {
        "url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/multishot-prompting",
        "topic": "Multi-shot prompting patterns for consistent agent behavior",
        "techniques": ["example-based learning", "pattern reinforcement", "consistency"]
      },
      {
        "url": "https://www.promptingguide.ai/techniques/cot",
        "topic": "Chain-of-thought prompting for agent reasoning",
        "techniques": ["step-by-step reasoning", "explicit thinking", "problem decomposition"]
      },
      {
        "url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/be-clear-and-direct",
        "topic": "Clear directive patterns for reliable agent orchestration",
        "techniques": ["explicit instructions", "role clarity", "task specification"]
      }
    ],
    "intermediate": [
      {
        "url": "https://www.promptingguide.ai/techniques/react",
        "topic": "ReAct pattern: Reasoning and Acting in multi-agent systems",
        "techniques": ["interleaved reasoning", "action planning", "observation loops"]
      },
      {
        "url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/chain-prompts",
        "topic": "Chain prompting for complex multi-stage workflows",
        "techniques": ["workflow decomposition", "state passing", "staged execution"]
      },
      {
        "url": "https://www.promptingguide.ai/techniques/self-consistency",
        "topic": "Self-consistency for quality assurance across parallel agents",
        "techniques": ["multiple sampling", "consistency checks", "majority voting"]
      },
      {
        "url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/let-claude-think",
        "topic": "Extended thinking for complex orchestration decisions",
        "techniques": ["deliberate reasoning", "problem analysis", "strategic planning"]
      }
    ],
    "advanced": [
      {
        "url": "https://www.promptingguide.ai/techniques/meta-prompting",
        "topic": "Meta-prompting: Prompts that generate and improve prompts",
        "techniques": ["self-improvement", "dynamic prompt generation", "reflection"]
      },
      {
        "url": "https://www.promptingguide.ai/techniques/pal",
        "topic": "Program-Aided Language Models for structured agent coordination",
        "techniques": ["code generation", "programmatic control", "structured workflows"]
      },
      {
        "url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/prompt-generator",
        "topic": "Automated prompt generation and optimization",
        "techniques": ["prompt templates", "dynamic generation", "optimization loops"]
      },
      {
        "url": "https://www.promptingguide.ai/techniques/tree-of-thoughts",
        "topic": "Tree of Thoughts: Multi-path exploration in agent systems",
        "techniques": ["exploration strategies", "branching logic", "path evaluation"]
      }
    ],
    "expert": [
      {
        "url": "https://www.promptingguide.ai/research/llm-agents",
        "topic": "LLM agent architectures and coordination patterns",
        "techniques": ["agent frameworks", "communication protocols", "memory systems"]
      },
      {
        "url": "https://www.promptingguide.ai/techniques/reflexion",
        "topic": "Reflexion: Self-reflection and learning in agent systems",
        "techniques": ["error analysis", "iterative improvement", "learning loops"]
      },
      {
        "url": "https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/long-context-tips",
        "topic": "Long-context optimization for complex agent orchestration",
        "techniques": ["context management", "information retrieval", "memory optimization"]
      }
    ]
  },
  "web_search_templates": [
    "multi-agent system coordination patterns site:arxiv.org",
    "prompt engineering best practices {year}",
    "agent orchestration frameworks github",
    "meta-prompting techniques site:promptingguide.ai",
    "claude code slash command patterns site:docs.anthropic.com",
    "parallel agent execution patterns",
    "self-improving AI systems architecture",
    "quality evaluation in generative AI",
    "state management distributed agents",
    "configuration-driven agent systems"
  ],
  "fallback_searches": [
    "advanced prompt engineering techniques",
    "multi-agent AI coordination",
    "agent-based software architecture",
    "automated quality evaluation AI",
    "meta-learning agent systems"
  ],
  "notes": {
    "priming_strategy": "Start with Claude docs and general prompting guides",
    "progression": "Move from basic patterns to meta-level capabilities",
    "application": "Each iteration should demonstrate 2-3 specific techniques from its URL",
    "documentation": "Document source URL and techniques learned in README"
  }
}