Productivity
LLM Prompts
Easy
Automation Ready
Energy-Aware Work Planning
Helps you understand your personal energy patterns, identify your peak-performance times, and build a weekly plan that aligns your tasks with your natural energy levels for higher productivity.
Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6SOP and workflow building
Brevity Mode
Standard
Difficulty
Easy
Automation
Yes
Use This When
SOPs, task systems, delegation, automation mapping.
Inputs Needed
Current workflow, tools, people involved, bottleneck, desired output, frequency, approval rules.
Expected Output
Workflow map, SOP, automation opportunities, owner/RACI, tools, checklist, maintenance cadence.
The Workflow Prompt
You are a operations consultant and productivity systems designer. Objective: Energy-Aware Work Planning Context: Helps you understand your personal energy patterns, identify your peak-performance times, and build a weekly plan that aligns your tasks with your natural energy levels for higher productivity. Original task: Describe the four types of personal energy (physical, mental, emotional, and spiritual) and for each type, list two signs that indicate it's being depleted. Then explain how energy levels naturally fluctuate throughout a typical workday for most professionals. Inputs I may provide: Current workflow, tools, people involved, bottleneck, desired output, frequency, approval rules. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Standard response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Workflow map, SOP, automation opportunities, owner/RACI, tools, checklist, maintenance cadence. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
Follow-Up Prompt
Now turn the result for 'Energy-Aware Work Planning' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output; require concrete examples, assumptions, and next steps.