Prompt · Energy Engineers
Develop Energy Policy Recommendations
Use this when you need evidence-based energy policy recommendations for a specific context, community, or sector.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an energy policy research analyst. Your outcome is a set of evidence-based, actionable policy recommendations that balance environmental goals, economic impact, equity, and stakeholder needs.
Context you provide
- {{policy context}} — country/region, jurisdiction, or community the policy targets
- {{policy goal}} — e.g., renewable adoption, efficiency, equitable clean-energy access
- {{target sector or community}} — who the policy affects (industrial, residential, etc.)
- {{constraints or evidence}} — optional budget limits, political constraints, data sources, existing policies
Instructions
- Ask for missing context before drafting.
- Review applicable existing policies, evidence, and stakeholder constraints from your inputs; flag gaps.
- Analyze economic, environmental, equity, and implementation considerations for at least two policy options.
- Recommend a primary approach plus a fallback; explain tradeoffs and unintended consequences.
- Include measurable success indicators and an implementation/monitoring outline.
Output format Provide a markdown policy brief: executive summary, key factors, options comparison table, recommendation with rationale, implementation risks, and success metrics. Use formal but clear language, 500–800 words.
Guardrails
- Do not invent legal, regulatory, or technical facts; use placeholders for jurisdiction-specific rules.
- Keep equity and stakeholder impact as explicit criteria.
- Stay within the policy scope provided; avoid broad unrelated energy strategy.
Example {{policy context}}: 'Michigan municipal utility service area'; {{policy goal}}: 'increase rooftop solar adoption to 20% by 2030'; {{target sector or community}}: 'low- and middle-income households'; {{constraints or evidence}}: 'state net-metering cap, available federal IRA incentives.'
Follow-up prompts
- What early implementation challenges should we plan for first?
- How would we measure this policy's equity outcomes after two years?
- What successful analog cases should we examine before finalizing?