Learn · Professional
AI at Work
Using AI in your job and bringing it into your company: everyday skills, the desktop and terminal tools, plans, policy, and rollout.
Using AI yourself
For the employee: the daily skills, the recipe book, and the habits of power users.
Using AI in Your Job: A Working Person's Guide
A practical guide for employees using AI day to day: the mental model that makes it click, the everyday wins in email, summaries, and meeting prep, and the rules that keep you out of trouble.
ProfessionalAI for Documents, Spreadsheets, and Meetings
Concrete recipes for the three great time sinks of office work — long documents, spreadsheets, and meetings — with the verification habits that keep AI's help from becoming AI's mistakes.
ProfessionalThe Habits of People Who Are Good at AI
What separates AI power users from everyone else: context as a skill, iteration as the default, a personal prompt library, calibrated verification, and staying the expert while the tool does the typing.
The tools
The desktop apps and terminal agents from the major labs.
AI on the Desktop: Beyond the Browser Tab
What the desktop apps from Anthropic, OpenAI, Google, and Microsoft actually add for workplace use — file access, screenshots, keyboard-summoned chat, connectors to your tools — and what IT should know before rolling them out.
ProfessionalTerminal AI: Claude Code, Codex, and Gemini CLI
The command-line coding agents from the three major labs — Anthropic's Claude Code, OpenAI's Codex, and Google's Gemini CLI — what they actually do, how to try one safely, and what to tell your security team.
For the company
Plans, policy, and rollout — the decisions that make workplace AI deliberate.
Choosing a Business AI Plan
What Claude, ChatGPT, Gemini, and Microsoft Copilot business plans actually add over individual subscriptions — data commitments, admin controls, SSO — and how to run the decision without a procurement odyssey.
ProfessionalWriting Your Company's AI Use Policy
How to write an AI use policy people will actually follow: the five decisions it must make, the data classification that does most of the work, and the frameworks — NIST AI RMF, ISO 42001, the EU AI Act — worth knowing about before you need them.
ProfessionalRolling AI Out to a Team That Did Not Ask for It
The human side of workplace AI: why mandates and license counts fail, how to run a pilot with volunteers and champions, what training on real work looks like, and how to measure value without theater.