Open a new document right now and title it "AI Wins." Write the first entry from something you've already done while reading this book — the nervous email you finally sent, the haunted formula you decoded, the procedure you documented. One line: what you did, what it saved.
That single line is the seed of your strongest future career conversation. The only hard part of this habit is starting it, and you just did. Add to it every week. In three months you won't believe you ever worked any other way — and neither will the person reading your review.
Prompt Pack: Building the Role
Here's something AI helped me do at work: [PLAIN DESCRIPTION]. Rewrite it two ways: (1) a one-line entry for my personal wins log with a time estimate, and (2) a resume/review-ready bullet using strong professional language (identified, built, established, trained).
Create a simple one-page guide teaching a coworker how to [SPECIFIC AI TASK, e.g., 'turn messy notes into clean minutes']. Plain steps, one copy-paste example prompt, and one 'watch out for this' tip. Friendly, non-condescending.
Outline a 30-minute, low-key session teaching office colleagues practical AI basics. Audience: mixed skill, some nervous. Cover: one mindset shift, two genuinely useful techniques they'll use tomorrow, and the data-safety basics. Include a simple takeaway handout outline.
Help me prepare to discuss my AI work in a performance review. Here are my wins: [PASTE WINS LOG]. Help me group them into themes, translate them into business value, and draft three sentences I can actually say out loud about taking on this role and where I'd like to grow it.
I've been asked to evaluate [TYPE OF AI TOOL] for my team. Give me a simple evaluation checklist covering usefulness for our real tasks, ease of use, data-safety and privacy questions to ask the vendor, and cost-versus-benefit — formatted as a report template I can fill in.
Our office is creating (or lacks) an AI use policy and I want to contribute usefully. Draft a starting framework an admin could bring to that discussion: approved-tools approach, the never-put-in list, the bulletin-board principle, verification expectations, and a 'when to ask' rule. Practical and brief, not legalistic.
Ask me five questions, one at a time, to help me figure out where I could become more visibly useful with AI in my specific workplace — then suggest two concrete, low-risk first moves based on my answers.