"1. It's a conversation, not a search engine. The biggest mistake newbies make is treating AI like Google - one question, one answer, done. The magic happens in the back-and-forth. Ask a question. Read the answer. Then push: "Make it shorter ... Give me three alternatives ... That's too formal ... What am I missing?" The best outputs come from the fifth or sixth exchange."
"2. Nail the Who. Start by explaining who you are - your role, experience, anything relevant - and who you want the AI to think like when answering. Be specific. Example: "I'm a senior account manager at a midsized software company. I've been here six years, consistently hit my numbers, and just took on two new direct reports. I want you to think like a brutally honest executive coach who has helped hundreds of people negotiate compensation.""
Treat interactions with large language models as conversations rather than one-off search queries. Ask an initial question, review the response, and iterate by requesting brevity, alternative options, tone changes, or missing elements. Specify who you are and instruct the model which persona to adopt, including role, experience, and desired voice. Provide detailed, real-world context such as timing, recent performance, audience, constraints, and objectives. Expect more useful outputs after several exchanges. Apply these techniques to tasks like performance-review preparation, compensation requests, and workplace communications to increase relevance and effectiveness.
Read at Axios
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