Cost, Latency, and ROI of AI Systems
A practical framework for understanding the economic trade-offs of AI systems, including model cost, response speed, review effort, and business payoff.
Business
The AI Stack in Plain English
A plain-English guide to the main layers of a modern AI system, from models and prompts to retrieval, tools, guardrails, and review.
What AI Gets Wrong
A practical guide to the most common ways AI systems fail in business settings, and how to design review controls before those failures become operational problems.
How to Evaluate an AI Use Case
A practical framework for deciding whether an AI project is worth pursuing, what shape it should take, and how to avoid expensive pilots.
LLMs vs Traditional Machine Learning
A practical comparison of large language models and classical machine learning, with guidance on when each approach fits a business problem.
Prompting 101 for Business
A practical guide to writing prompts that produce useful, controlled outputs for real business work rather than clever toy demos.
RAG Explained for Business
A business-friendly explanation of retrieval-augmented generation and why it matters when your AI must work from company knowledge.