AI Deployment
Placeholder for practical, implementation-aware writing that links strategy to shipped systems.
Writing
Practical articles for moving AI from demo to deployment.
This hub will collect direct, extractable writing for operators, founders, and technical teams evaluating production AI systems.
Content pillars
Four themes for compounding authority.
RAG and Knowledge Systems
Placeholder for practical, implementation-aware writing that links strategy to shipped systems.
Agents and Workflow Automation
Placeholder for practical, implementation-aware writing that links strategy to shipped systems.
Build Logs
Placeholder for practical, implementation-aware writing that links strategy to shipped systems.
First article backlog
The first 20 articles are already scoped.
What a Forward-Deployed AI Engineer Actually Does
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How to Pick an AI Workflow Worth Automating
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AI Prototype to Production: The Checklist Most Teams Skip
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RAG Is Not Enough: How to Evaluate Knowledge Assistants
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How to Build an AI Agent That Does Not Break Your Operations
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The AI Opportunity Scorecard: A Practical Framework for Operators
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When to Use RAG vs Fine-Tuning vs Agents
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How to Estimate ROI for an AI Workflow
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Why Most AI Pilots Stall After the Demo
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How to Add Human Review to AI Automation
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Building a Tenant-Aware AI Assistant for Hospitality Operations
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Designing an Investment Research Assistant With Citations
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How to Monitor Cost, Latency, and Quality in LLM Apps
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The Minimum Viable Eval Suite for a RAG System
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What Non-Technical Leaders Should Know Before Buying AI Automation
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AI Agents for SMB Operations: Good Use Cases and Bad Use Cases
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How to Turn Internal Docs Into a Reliable AI Assistant
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How to Build a Content Engine for Answer Engines, Not Just Google
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What to Ask Before Hiring an AI Consultant
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Fractional AI Engineer vs Agency vs Full-Time Hire
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