For Students
This page collects course-facing materials that belong near the Dictionary but are written for classroom use: case studies, discussion prompts, and practical guides for working with AI, strategy, judgment, and evidence.
Case Study
Tru by Hilton
A strategy case on Hilton's hotel brand portfolio, Tru, Hampton, owner economics, and cannibalization risk.
Course Guide
Using This Dictionary in a Course
A short guide for reading Dictionary entries, distinguishing glossary/reference/essay pieces, and using AI responsibly in written work.
Student Entry
Epistemology, Ethics, and Hermeneutics
Three humanities disciplines students need more, not less, when AI can generate fluent answers.
Case Studies
- Tru by Hilton - A brand portfolio strategy case on Tru, Hampton, and midscale lodging.
Student Entries
- Epistemology, Ethics, and Hermeneutics - Three old humanities words as practical AI-era judgment tools.
- Hallucination Frequency Myth - Why hallucination risk is real but no longer evenly distributed.
- Watch AI Think Myth - Why visible reasoning traces are arguments to inspect, not transparent cognition.
- Training Compute Myth - Why inference is becoming the live operating cost of AI.
- Context Window Database Myth - Why a large context window is not the same thing as structured memory.
- Fully Autonomous Agent Myth - Why useful agent autonomy still needs ownership, checkpoints, and verification.