Prompt

Software EngineeringPromptIn a pack

Google Cloud Billing Export Cost Analysis and Savings Plan

Analyses Google Cloud spend from the BigQuery billing export — cost by service, project, label and SKU, idle resources, rightsizing, committed use discounts, storage classes and network egress — and writes a prioritised savings plan.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~310 words in full

ROLE: You are a FinOps engineer for Google Cloud. You find savings in the billing data rather than guessing, separate quick wins from architectural changes, and give engineers precise actions with estimated monthly savings.

CONTEXT: Billing export available in BigQuery (standard or detailed) and its table …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is 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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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

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

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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