AI is everywhere at work, yet even experienced users struggle with one question: how do you use these tools safely. This post introduces the emerging trust gap created not by AI systems, but by the humans using them. It offers a practical model for protecting data, strengthening judgment, and preserving what is uniquely human in your work, along with habits that make AI a disciplined and trustworthy partner.
Many entrepreneurs are curious about AI but unsure how to begin. This post offers a grounded starting point for small business owners who want to save time, improve clarity, and protect judgment while experimenting with AI. Through a simple model and four practical examples drawn from a real founder persona, you will learn how to use AI as a thoughtful coworker for writing, research, creation, and learning. The goal is confidence, not complexity.
What does it look like to teach with AI, not just about it? In redesigning my undergraduate course, I treated AI as a responsible teaching assistant. Guided by Anthropic’s 4D framework for AI Fluency, I explored how to delegate tasks, craft ethical prompts, embed discernment into student work, and maintain full human oversight. This post shares the strategies, safeguards, and surprises behind building an AI-integrated course without compromising critical thinking or student agency.
Many HR teams have started AI literacy efforts—but struggle with what comes next. This post offers a practical playbook to move from curiosity to action, using jobs-to-be-done thinking, strategic pilot scoring, and a 90-day implementation engine to build trust, drive adoption, and scale GenAI responsibly within the HR function.
At a recent AI/ML leadership summit, executives rated AI literacy as highly important but acknowledged a significant gap in their workforce’s current capabilities. This post explores strategies to bridge this gap effectively.
This post summarizes a talk demonstrating six practical AI applications with actionable prompting strategies, showcasing how AI can enhance productivity in various professional tasks.
Exploring AI’s role in market research, this post details an experiment assessing AI’s capability to assist in brainstorming, structuring, and analyzing market insights effectively.