MICRO-COURSE

Estimate Token Costs and Set AI Usage Budgets

An editable cost estimate using supplied example rates. Calculate usage under normal and retry scenarios; do not treat example rates as current provider pricing.

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01 / WATCH

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02 / UNDERSTAND

Start with the topic guide.

An editable cost estimate using supplied example rates

This is a learning outline. A complete worked tutorial has not been published for this topic yet.

Tokens and metered use

List assumed input output and request volumes

Evidence: t014/m01/evidence

Input-output budget

Use owner-entered sample rates to calculate cost

Evidence: t014/m02/evidence

Retries and caching scenarios

Test the estimate with double the request volume

Evidence: t014/m03/evidence

Set alerts and caps

Define a usage alert and a stop rule without claiming live vendor prices

Evidence: t014/m04/evidence

03 / TRY IT

Apply the micro-course

Demonstrate the promised artifact
Change one supplied assumption or remove one required input for an editable cost estimate using supplied example rates; identify the limitation rather than inventing success.
Independently explain and change one assumption in an editable cost estimate using supplied example rates.

Keep your work

Calculate usage under normal and retry scenarios; do not treat example rates as current provider pricing.; The documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.; The learner predicts and verifies the change; AI output is not accepted without understanding.

Check your understanding

Calculate usage under normal and retry scenarios; do not treat example rates as current provider pricing.
Show one small example, the expected result and the reasoning behind it.
Record one limitation or edge case and a question to discuss with a mentor.

04 / LEARN WITH HELP

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