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Cost and Token Budget Review for Prompts

Table output

Reduce spend without losing quality.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Review the cost of my prompt-based workflow. Workflow and volume per month: [WORKFLOW_AND_VOLUME]. Prompt length and typical input and output sizes: [SIZES]. Model options and their pricing (from the provider's current price page): [PRICING]. Quality requirements: [QUALITY_REQUIREMENTS].

Return:
1. A cost model with formulas: cost per call = (input tokens x input price) + (output tokens x output price); monthly cost = cost per call x volume. Use my numbers, show the arithmetic, and label estimates (a token is not a word; use the provider's tokenizer or an approximate ratio and say which).
2. A breakdown of where tokens go: instructions, examples, retrieved or pasted documents, conversation history, output.
3. Savings ideas ranked by effect and risk: shorten instructions, reduce examples, trim inputs to the relevant parts, cache static parts if the provider supports it [VERIFY], limit output length, use a smaller model for easy steps and a larger one for hard steps, batch where possible, and avoid sending conversation history that is not needed.
4. A quality guardrail: test each saving on the test set before adoption.
5. A budget alert plan (monthly limit, usage dashboard, anomaly checks).
6. Hidden costs: review time, error handling, retries.

Do not assume prices; ask me to enter current ones. Give a worked example with made-up numbers.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

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