ThinkWithPrompt by SynotticThinkWithPrompt

Build an AI-assisted workflow to cut my weekly workload

Turns a time-consuming process into a step-by-step human + AI workflow with prompts, review points, and estimated time saved.

Working with AIFew-ShotStandardSummarizeFill-in TemplateStep-by-step

The prompt

Help me turn a time-consuming part of my work into an AI-assisted workflow. The process or recurring work: [DESCRIBE STEP BY STEP - e.g. "weekly status report: pull updates from 6 project owners, summarize, format in PowerPoint"] How often, and how long it takes now: [e.g. "weekly, about 4 hours"] Inputs and where they live: [emails, Excel files, Teams chats, CRM, documents] Output and who receives it: [DETAILS] AI and automation tools I'm allowed to use: [e.g. Copilot in Outlook and Excel, ChatGPT Enterprise, Power Automate] What can't go wrong: [e.g. "numbers must match finance", "no client data in public tools"] Return: 1. Current-state steps with time per step (mark estimates). 2. Future-state workflow: | Step | Who does it (Me / AI / Automation / Someone else) | Tool | Input | Output | Human check | 3. A ready-to-use prompt for each AI step, with [PLACEHOLDERS]. 4. Quality checks I run every time before anything is sent: numbers, names, dates, tone, and claims. 5. Time saved per cycle, as a range with the assumptions shown. 6. A 2-week pilot: how to run it side by side with the old way, and what result decides whether to keep it. Rules: Keep decisions, approvals, and anything sent outside the team under human review. Never put confidential or personal data into a tool my company hasn't approved. If a step is better handled by a simple template or rule than by AI, say so.

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

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What to fill in

  • e.g. "weekly, about 4 hours"
  • emails, Excel files, Teams chats, CRM, documents
  • DETAILS
  • PLACEHOLDERS

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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