Prompt Engineering & Evaluation
Test, optimize, and validate prompts before scaling your LLMs.
Prompt design directly affects how language models respond.
LXT helps you evaluate and refine prompt strategies – across formats, domains, and languages – to improve accuracy, reduce risk, and guide model behavior.
Why leading AI teams choose LXT for prompt engineering & evaluation
Structured prompt testing workflows
We design controlled experiments to compare prompt variants and surface performance differences.
Cross-model & cross-locale coverage
Evaluate prompts across multiple models, use cases, and more than 1,000 language locales.
Human scoring & comparative ranking
Expert reviewers assess responses for accuracy, tone, policy alignment, and completion quality.
Instruction & context analysis
We test prompts under varied conditions – system prompts, user phrasing, few-shot examples, and edge cases.
Exploratory or scripted testing
Support for open-ended prompt discovery or fixed prompt sets based on your use case or policy framework.
Secure infrastructure for sensitive inputs
ISO 27001 certified, SOC 2 compliant, with NDA workflows and secure facility options.
LXT for prompt engineering & evaluation
Prompt design isn’t just UX – it shapes how your models behave.
LXT brings structure and human insight to prompt evaluation, helping you understand what works, what breaks, and how to improve.
Whether you’re launching a chatbot, fine-tuning a model, or building safety guardrails, we help you test prompts across edge cases, locales, and models – so your systems respond reliably, safely, and on-brand.
Our prompt engineering & evaluation services include:
We help you test, score, and refine the prompts that shape your model’s behavior – before they go live.
Prompt comparison & A/B testing
Evaluate which prompt formulations yield more accurate, helpful, or compliant model responses.
Response scoring & annotation
Human reviewers assess outputs for relevance, tone, safety, factuality, and policy alignment.
Few-shot & system prompt evaluation
Test instruction effectiveness using zero-shot, one-shot, or structured prompt templates.
Multilingual & regional prompt testing
Verify prompt performance and output consistency across languages, dialects, and cultural contexts.
Failure analysis & edge case testing
Identify prompt patterns that trigger hallucinations, refusals, or inconsistent completions.
Custom prompt sets & scenario execution
Use your internal prompt libraries or have us build scenario-based tests tailored to your domain.
How our prompt engineering & evaluation project process works
Every prompt testing project is tailored to your use case – whether you need to compare prompt variants, validate tone and policy compliance, or surface edge-case risks.
We start by reviewing your objectives, target tasks, languages, model context, and prompt types – so we can align on the right evaluation setup.
Our team sets up the workflow on LXT’s secure platform and assigns trained evaluators with domain, linguistic, or compliance expertise.
We develop scoring guidelines and run a pilot to ensure consistent reviewer judgment and meaningful scoring ranges.
Prompts are tested at scale – across models, tasks, and locales – with responses scored, ranked, or annotated as required.
We apply gold prompts, reviewer benchmarking, and live QA checks to ensure accuracy and consistency.
Evaluation results are delivered in your preferred format – with traceable scoring, prompt-response mappings, and reviewer notes.
We support follow-up prompt testing or guideline refinement as your model, interface, or risk profile evolves.
Secure services for prompt engineering & evaluation projects
Prompt evaluation often involves sensitive use cases, model outputs, or internal prompt libraries.
LXT provides secure, compliant workflows to protect your data and ensure reviewer integrity.
We’re ISO 27001 certified and SOC 2 compliant, with encrypted infrastructure, NDA-backed access, and optional secure facility execution.
Whether testing prompts for healthcare, finance,
Industries & use cases for prompt engineering & evaluation services
LXT supports organizations testing prompts in high-impact, user-facing, or safety-critical contexts – across industries and model types.
Technology & Generative AI
Compare prompt variants for chatbots, copilots, and LLM interfaces to optimize accuracy and tone.
Healthcare & Life Sciences
Evaluate prompt clarity and response safety in clinical, patient-facing, or research-based AI tools.
Finance & Insurance
Test how prompts affect transparency, disclaimers, and regulatory compliance in generated outputs.
Retail & E-Commerce
Assess prompt performance in personalization, search optimization, or customer support scenarios.
Public Sector & Legal
Validate prompts for neutrality, policy alignment, and refusal consistency in civic and legal applications.
Education & Training
Check how instructional prompts guide AI tutors, learning platforms, or domain-specific assistants.
Further validation & evaluation services
Prompt performance is just one part of safe and effective LLM development.
LXT supports the full evaluation cycle – from training data to post-deployment monitoring.
AI data validation & evaluation
Explore our complete service offering for training data quality and model performance evaluation.
AI training data validation
Ensure the datasets used in prompt tuning or few-shot examples are clean, diverse, and balanced.
Search relevance evaluation
Evaluate how prompt variations impact ranking, retrieval, and user satisfaction in search-based systems.
AI model evaluation
Assess whether outputs generated from prompts are accurate, appropriate, and policy-compliant.
Human in the loop
Use real-time human scoring to monitor how prompts perform in live environments or post-deployment testing.
RLHF services
Use structured human feedback to fine-tune your models for preferences, tone, and alignment goals.
Supervised fine-tuning
Create instruction – response datasets that teach your model how to respond reliably from the start.
LLM red teaming & safety
Test how your prompts interact with model safety – across edge cases, jailbreak attempts, and refusal tasks.
FAQs on our prompt engineering & evaluation services
Prompt evaluation tests how different inputs influence model behavior—measuring accuracy, tone, safety, and consistency across responses.
Yes. We evaluate prompt performance in over 1,000 language locales, including culturally specific phrasing and regional variations.
Absolutely. We run A/B tests or multi-prompt comparisons to determine which phrasing leads to better model performance or safer outcomes.
Yes. We can test your existing prompts as provided or help you refine them for clarity, safety, or localization—based on your goals.
Yes. All projects follow ISO 27001 and SOC 2 standards, with NDA coverage, encrypted workflows, and secure-facility options if required.