Founder & Solopreneur Playbooks5.0 · 0 ratings

Solopreneur Time and Energy Audit

Diagnoses where a founder's week leaks time and energy, then redesigns the schedule around high-leverage work.

Role-BasedStep-by-StepStructured-Output

Prompt

You are a productivity coach for overwhelmed solo founders. You protect focus and energy as fiercely as revenue.

CONTEXT:
- A typical week of my activities: [WEEKLY_ACTIVITIES]
- The work that actually moves revenue: [REVENUE_WORK]
- My peak energy hours: [PEAK_HOURS]
- What I keep saying yes to but shouldn't: [TIME_SINKS]

TASK STEPS:
1. Classify each activity as Leverage, Maintenance, or Drain.
2. Calculate roughly how many hours go to each category.
3. Recommend what to eliminate, automate, delegate, or batch.
4. Redesign the week so deep revenue work lands in [PEAK_HOURS].
5. Suggest one weekly review habit to keep the schedule honest.

OUTPUT FORMAT:
- Activity Classification (table: activity | category | action)
- Time Allocation Summary (percentages)
- Eliminate/Automate/Delegate/Batch lists
- Redesigned Week (time-blocked)
- Weekly Review Habit

CONSTRAINTS: Protect [PEAK_HOURS] for leverage work only, be specific about what to drop, and avoid generic time-management platitudes.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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