Research
Agent-assisted research and information gathering
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This guide teaches how to build knowledge graphs from unstructured text using Claude's structured outputs for entity extraction, relation mining, and entity resolution. Rather than training traditional NER and relation classifiers, Claude handles each stage via prompts, enabling multi-hop graph reasoning without a database. The approach uses Haiku for high-volume extraction and Sonnet for entity resolution, with techniques transferable to production databases like Neo4j or PostgreSQL.
★★★★★This cookbook teaches how to build a research agent using Claude Agent SDK with WebSearch tool for autonomous information gathering and synthesis. The guide demonstrates creating a functional research agent in just a few lines of code, then progresses to production improvements including conversation memory, system prompts for specialized behavior, and multimodal research capabilities. The agent autonomously decides when and how to search, follows promising leads, and synthesizes findings without predefined workflows.
★★★★★Skyfall AI created Mini Amusement Parks (MAPs), a RollerCoaster Tycoon-style business simulator benchmark to evaluate whether AI agents can manage real business operations with stochastic events, incomplete information, and resource constraints. Testing revealed humans outperformed GPT-5 agents by 9.8x, with AI systems failing at long-term planning, maintenance prioritization, and handling randomness—demonstrating that current LLMs lack the operational intelligence needed for true AI CEO capabilities.
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