Choose the task before comparing tools

“Is Claude good?” is too broad to answer usefully. Define a task such as categorizing support enquiries into six approved categories. Write what success means, including when the assistant should ask for clarification. A comparison only becomes meaningful when all candidates receive the same input and are judged against the same expectations.

Build a representative test set

Collect synthetic or approved examples covering normal requests, ambiguous language, missing information and irrelevant instructions. Include difficult cases that resemble your real workload. Keep a portion separate from prompt development so you can see whether improvements generalize beyond the examples used while refining the instructions.

Score more than fluent writing

For classification, measure whether the category is correct. For extraction, compare required fields with the source. Track unsupported claims, response time and the amount of human correction required. Anthropic’s evaluation guidance recommends defining success criteria; your own criteria should reflect the cost of mistakes in the actual process.

Use an explicit rejection path

Some inputs should produce “needs review.” Do not reward the model for always returning an answer. A supplier email with no currency should not silently become a USD quotation. Test whether missing information remains missing and whether contradictory content is flagged instead of resolved through guesswork.

Repeat the evaluation after changes

Save the prompt version and model configuration with the results. Re-run important cases after changing instructions or the provider configuration. Avoid calling a tool the universal winner based on a few impressive examples. Choose the option that meets your workflow’s requirements, and keep human review where the consequences justify it.

Official references

Published by DevMania with AI assistance. Examples illustrate planning approaches and do not claim client results. Check current provider documentation before implementing product-specific features.