ThinkWithPrompt by SynotticThinkWithPrompt

Sort my tasks into automate, delegate, eliminate, or do myself

Applies a clear four-way test to every task, including what AI could handle and what needs your personal judgment.

Productivity & PlanningFew-ShotStandardLeadershipAnalyzeFill-in Template

The prompt

Sort my tasks into automate, delegate, eliminate, or do myself. My tasks (one per line, with frequency and time if known): [PASTE] My role: [ROLE] People I could delegate to, and their skills: [e.g. "analyst - strong in Excel; coordinator - good with scheduling" - or "none"] Tools I have: [e.g. Microsoft 365 Copilot, ChatGPT, Power Automate, Zapier, none] Sensitive data or approvals involved: [e.g. "salary data", "client contracts", "none"] Decision tests: - Eliminate: no one would notice or care if it stopped. - Automate or AI-assist: repetitive, rule-based, or a first draft from clear inputs, where errors are easy to catch. - Delegate: someone else can do it well with instructions, or it would help them grow. - Do myself: needs my judgment, accountability, authority, or relationships, or involves sensitive decisions about people, money, or legal risk. Return: 1. Table: | Task | Verdict | Why | How (tool, prompt idea, or person) | Human check needed | Time saved/week | 2. The tasks that need my personal judgment, and why AI or delegation would be risky for each. 3. For AI-assisted tasks: what the AI does, what I review, and what data must never go into the tool. 4. The three moves that save the most time, in order. Be realistic: if AI would only save a few minutes or adds review burden, say so. Follow my company's AI and data policies; if I haven't mentioned them, remind me to check.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • PASTE
  • ROLE
  • e.g. "salary data", "client contracts", "none"

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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