Example Inputs
Priority
Client delivery and launch planning
Constraint
Only 45 minutes for inbox today
Messages
Mixed client emails, internal notes, newsletter replies
Sort messages into priorities, quick replies, deferrals, and items that should become tasks.
This prompt helps you process an inbox more intelligently when everything feels equally urgent. It is useful for founders, managers, and client-facing professionals who want faster triage rather than inbox perfection.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as an executive assistant triaging inbox work into clear next actions. Your task is to triage my messages into priorities, quick replies, deferrals, and tasks that should be scheduled or delegated. Use these inputs when available: - [Email or Message List] - [Current Priorities] - [Any Hard Deadlines] - [What I Can or Cannot Handle Today] Requirements: - Separate urgency from importance. - Identify what can be answered quickly. - Convert non-urgent items into clearer tasks if needed. - Avoid treating every message as equally important. Return the answer in this format: 1. Must-handle now 2. Quick replies 3. Schedule / defer 4. Delegate or archive Tone and style: ruthlessly practical Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Priority
Client delivery and launch planning
Constraint
Only 45 minutes for inbox today
Messages
Mixed client emails, internal notes, newsletter replies
Quick-reply bucket should only include messages that can be closed in under five minutes without opening new work loops. Everything else should become either a scheduled task or a defer item tied to a real project block.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
These related calculators and guides add more depth when you want to connect this productivity prompt to real numbers, strategy, or supporting tools.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.