"Instead, master "constraint-based prompting." This is where you tell the AI exactly what to write and how to write it, forcing it to follow your specific, professional rules. Here's a prompt example: "You are a [job title]. Draft a [document type (memo, email, etc.)] to [target audience]. The tone must be [tone]. The three key takeaways are [list three specific bullet points]. The final memo should be around [length in words] and include a subject line.""
"You're doing it wrong. Let the AI do the heavy lifting of synthesis. It's time to leverage "deliverable-based prompting." Instead of asking for a summary, ask the AI to produce specific, structured outputs from a large body of text, such as a meeting transcript or a dense PDF. For example: "Analyze the following [meeting transcript/document]. Do not summarize the entire text. Instead, produce three distinct outputs: 1) A table listing all action items, the person responsible, and the deadline mentioned."
AI can replace hours of routine professional work with brief, precise prompts that automate writing, synthesis, and follow-ups. Use constraint-based prompting to require the AI to follow strict professional rules, tone, audience, length, and takeaways when drafting emails or memos. Use deliverable-based prompting to extract structured outputs from transcripts or documents, such as tables of action items, unresolved questions, and concise follow-up subject lines. Use preferred chatbots (Gemini, ChatGPT, Claude, Copilot) and standardized prompt templates to consistently convert repetitive tasks into fast, repeatable AI operations that save time and reduce grunt work.
Read at Fast Company
Unable to calculate read time
Collection
[
|
...
]