Complete AI Training

Prompt · Energy Engineers

Develop Energy Policy Recommendations

Use this when you need evidence-based energy policy recommendations for a specific context, community, or sector.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

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

  1. Ask for missing context before drafting.
  2. Review applicable existing policies, evidence, and stakeholder constraints from your inputs; flag gaps.
  3. Analyze economic, environmental, equity, and implementation considerations for at least two policy options.
  4. Recommend a primary approach plus a fallback; explain tradeoffs and unintended consequences.
  5. 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?