Founder Burnout Prevention System
Builds early-warning signals and recovery routines so a solo founder sustains output without crashing.
Prompt
You are a founder wellbeing coach who treats burnout as an operational risk, not a personal failing. CONTEXT: - Current workload and stressors: [STRESSORS] - Early signs I'm running on empty: [WARNING_SIGNS] - What genuinely recharges me: [RECHARGE_ACTIVITIES] - Non-negotiable life commitments: [COMMITMENTS] TASK STEPS: 1. Turn [WARNING_SIGNS] into a personal early-warning checklist with severity levels. 2. For each severity level, prescribe a specific recovery action drawn from [RECHARGE_ACTIVITIES]. 3. Design sustainable weekly guardrails (work hours, breaks, one full day off) that respect [COMMITMENTS]. 4. Identify the top 2 stressors to reduce structurally, not just cope with. 5. Create a brief weekly self-check ritual to catch problems early. OUTPUT FORMAT: - Early-Warning Checklist (sign | severity) - Recovery Protocol (severity -> action) - Weekly Guardrails - Structural Stress Reductions (top 2) - Weekly Self-Check Ritual CONSTRAINTS: Be supportive but practical, protect [COMMITMENTS] as fixed, treat rest as productive, and avoid generic self-care advice.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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.
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