Chaparral Software MCP

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{'type': 'object', 'required': ['topic'], 'properties': {'topic': {'oneOf': [{'const': 'ai_project_failure', 'description': 'Evidence on AI project failure rates, root causes, and what the research says when you trace citations'}, {'const': 'prototype_to_production', 'description': 'What breaks when AI-built prototypes need to become production systems, including vibe-coded builds'}, {'const': 'verification_and_oversight', 'description': "Why self-correction isn't verification, independent assessment, and the three layers most organizations skip"}, {'const': 'orchestration', 'description': 'AI orchestration patterns, the harness-vs-model thesis, context engineering, and governance architecture'}, {'const': 'career_disruption', 'description': 'The human experience of AI transformation — career anxiety, identity, and navigating uncertainty'}, {'const': 'ai_workforce_impact', 'description': 'Evidence on AI layoffs, automation, and human-AI collaboration'}, {'const': 'ai_first_web', 'description': 'Building websites for four audiences: humans, search engines, AI answer engines, and AI agents'}], 'description': 'Topic to browse'}}}