A six-guide learning path

Test AI quality and cost

Separate a fluent answer from a correct answer. Keep a small test set and cost ledger before expanding traffic or functionality.

Step 1

Build a small AI evaluation set

Collect representative and difficult examples before judging a prompt by a single demo.

Step 2

Separate factual support, completeness, usability, and style in your evaluation.

Step 3

Compare candidate prompts against a stable baseline with failure cases and cost measurements.

Step 4

Include retries, failed work, fees, and support when estimating margin.

Step 5

Measure the whole user-visible path and choose synchronous or queued processing deliberately.

Step 6

Limit input, output, concurrency, and aggregate spend at the application boundary.

Choose one exercise and use your own project as the example. The free scorecard and interactive tools help turn reading into a next decision.