Prompt engineering & evaluation

Prompts tested against real tasks and local context.

Create, compare and evaluate prompts across languages, scenarios, edge cases and response criteria to improve model reliability.

Vietnamese contextScenario coverageResponse scoringFailure analysis

What we evaluate

Prompts, responses and failure patterns.

Evaluation frameworks are tailored to your model, workflows, languages, safety rules and expected user behavior.

Evaluate prompt performance across languages, dialects, regions, and cultural contexts to ensure consistent and locally appropriate outputs.

Test system instructions, zero-shot and few-shot examples, and structured prompt templates to assess their effectiveness across tasks and scenarios.

Evaluate and label model outputs for accuracy, relevance, helpfulness, tone, safety, factuality, and policy compliance.

Identify prompt patterns and uncommon scenarios that cause hallucinations, refusals, instruction failures, or inconsistent model behavior.

Compare prompt variations to determine which produces more accurate, relevant, consistent, and instruction-aligned model responses.

Create or execute domain-specific prompt sets and test scenarios based on your workflows, evaluation criteria, and model use cases.

Built for iteration

We combine native-language judgment with structured scoring to show which prompts work, where they fail and why.

01System prompt optimization

02Multilingual product testing

03Safety & edge cases

04Domain scenario evaluation

How we deliver

A repeatable workflow turns response judgments into comparable findings and actionable prompt changes.

Align tasks, users, languages, prompts, rubrics and failure criteria.

Run controlled prompt sets and capture outputs across variations.

Review responses, compare variants and classify failure patterns.

Deliver findings, prompt improvements and targeted follow-up tests.

Share your model workflow, current prompts and evaluation goals. We’ll propose a focused test plan.