Scenarios › Consulting
Energy procurement strategy per grande cliente industriale · Consulting · Advanced · 250 XP
A large industrial group spends €85M per year on electricity and gas across 12 European countries. Energy costs represent 18% of production cost. The energy market is volatile and the current procurement approach (annual spot fixing) has produced high variance. The user must build an energy procurement strategy covering hedging policy, contract structure mix (fixed, indexed, PPA), supplier diversification, demand flexibility value, and an energy efficiency investment priority list.
Write the prompt you would give any AI (ChatGPT, Claude, Gemini, Copilot) to solve this real workplace scenario. Grace evaluates it in seconds across 7 dimensions: Role, Context, Objective, Constraints, Format, Audience, Efficiency: with a 0-100 score and coaching feedback. Your first 5 evaluations each day are free.
A large industrial group spends €85M per year on electricity and gas across 12 European countries. It is an advanced-level Consulting training scenario: you write the prompt you would give an AI to handle this situation, and Grace scores it from 0 to 100 with coaching feedback.
Assign the AI a precise role, give the key facts of the situation, state a verifiable objective, declare constraints (length, tone, what to avoid), and ask for the exact output format you need. Grace scores each of these elements separately.
All of them. You train the prompt, and a great prompt works with ChatGPT, Claude, Gemini, Copilot, Mistral or any model your company uses: the 7 dimensions are model-independent.
Grace analyzes your prompt across 7 dimensions (Role, Context, Objective, Constraints, Format, Audience and Efficiency) and returns a 0-100 score, a percentile against other players and specific coaching feedback in about 10 seconds.
Yes: it appears in "Energy & Utilities Consulting", structured paths that take you from first prompt to certification.
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