Turn preferences into acceptance criteria
“More capable” is not an acceptance criterion. Describe the actual work: summarizing support records, extracting fields, drafting a code change, or helping search internal material. For each task, define what a correct answer looks like and which mistakes are unacceptable. Include Traditional Chinese tone, domain terminology, traceability of supporting material, and handling of personal data where relevant. Keep human review for consequential outputs. A fluent answer to a demonstration prompt is not sufficient justification for allowing a model to make decisions that affect customer rights or business commitments without additional checks and accountable supervision.
Compare the complete workflow
Create a fixed evaluation set with ordinary cases, difficult cases, and deliberately ambiguous inputs. Record the prompt revision, model identifier, and application settings so comparisons remain meaningful. Score answer quality, latency, failures, and resource consumption across the whole task rather than judging a single output in isolation. If the application needs tools, images, or a structured format, exercise those requirements in the intended workflow. Similar model names do not establish feature equivalence. Use authorized evaluation data and define retention rules; sensitive customer records should not become convenient test fixtures without appropriate permission and safeguards.
Make availability part of the decision
An evaluation shortlist is not a statement of current UBTL availability. Before integration, ask support to confirm the exact model identifier, protocol, context and output limits, and applicable commercial terms. Do not import another platform’s capabilities by assumption. When preparing a fallback, retest prompts, formats, and quality instead of merely replacing the model name. Preserve a rollback path and clear reacceptance criteria for every change, especially in automated workflows. A defensible choice is not a permanent attachment to one model; it is a documented relationship between requirements, confirmed availability, and the risks your team can responsibly accept.