Use AI & Automation Intelligently
Who this is for: Founders, teams, and professionals deciding where AI and automation actually help.
9 resources, starting with AI 101: A Beginner's Guide to Artificial Intelligence.
Start here
- AI 101: A Beginner's Guide to Artificial Intelligence
Learn what AI actually is, how generative AI works, the terms that matter, how to write better prompts, where AI gets things wrong, and how to start using it confidently.
- AI Literacy at Work: What Changes About Your Job, and What Doesn't
AI is making supporting work cheap and high-judgment work scarce. What AI literacy means for a professional — what to delegate, and what you still sign.
Apply it
- The Human Skills That Matter More in an AI World
Seven human skills becoming more valuable as AI makes production easy — judgment, question framing, taste, verification, synthesis, communication, and accountability — with practical ways to strengthen each one.
- Four Workflow Changes That Actually Stuck
Meeting capture, first drafts, morning prioritization, research compression — what I actually ask AI to pull out, and what each change replaced.
- Enterprise AI Is Creating a Human Bottleneck
Most companies buying AI tools are not slow because their software is slow. They are slow because approvals, ownership, and data are slow. A practical guide to finding where work actually stops before you buy another AI product.
Go deeper
- Is Your Company Getting Smarter, or Just Faster?
AI adoption is easy to measure; AI capability is not. On the judgment gap — and how AI quietly deletes the rules your organization never wrote down.
- Capability Debt: The Skills You Stop Practicing Don't Wait for You
AI can improve your work while quietly weakening your ability to judge it. The risk isn't what the machine does. It's what you can no longer do.
- Who Will Train the Humans Who Supervise AI?
As AI automates entry-level work, who will train tomorrow's experts? Research reveals a growing challenge for apprenticeships and human oversight.
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