You will get Gulf Arabic prompt templates — optimized for LLMs & chatbots
Project details
Generic Arabic prompts produce generic Arabic outputs — and generic Arabic means Modern Standard Arabic. For customers in the UAE, Saudi Arabia, and the wider GCC, MSA sounds robotic, cold, and foreign. It is the Arabic of official documents. Not the Arabic of a helpful chatbot.
I engineer Gulf Arabic (ar-AE) prompt templates that tell your LLM exactly how to respond: correct dialect, right tone, natural vocabulary, and culturally appropriate service expressions — producing outputs that feel native to your Gulf audience from the first message.
Each template is built using a 6-element optimisation framework: dialect specification, tone control, terminology guidance, avoidance rules, format instruction, and cultural alignment. Every template is tested against a live LLM and refined until the Arabic output passes my Gulf Arabic quality standard.
You receive a ready-to-deploy bilingual document (Arabic and English) with your prompt templates, a system prompt, dialect notes, and a Gulf Arabic vocabulary reference. Drop them into your chatbot, virtual assistant, or customer service AI and the difference in output quality is immediate.
I engineer Gulf Arabic (ar-AE) prompt templates that tell your LLM exactly how to respond: correct dialect, right tone, natural vocabulary, and culturally appropriate service expressions — producing outputs that feel native to your Gulf audience from the first message.
Each template is built using a 6-element optimisation framework: dialect specification, tone control, terminology guidance, avoidance rules, format instruction, and cultural alignment. Every template is tested against a live LLM and refined until the Arabic output passes my Gulf Arabic quality standard.
You receive a ready-to-deploy bilingual document (Arabic and English) with your prompt templates, a system prompt, dialect notes, and a Gulf Arabic vocabulary reference. Drop them into your chatbot, virtual assistant, or customer service AI and the difference in output quality is immediate.
Testing Platform
Website Testing, Mobile Testing, Software TestingDevice
PC, Mac, iPhone, Windows TabletLanguage
English, ArabicWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$280
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Tested | 5 | 10 | 20 |
Screen Recording Time (Minutes) | 0 | 0 | 0 |
Test Scenario | |||
Summary Report | |||
Annotated Screenshots | - | ||
Test Desktop | |||
Test Mobile | - |
Optional add-ons
You can add these on the next page.
5 extra prompt templates
+$35
Saudi Arabic (ar-SA) variant set
+$55
Additional use case
+$50Frequently asked questions
About Mohamed
Arabic AI Specialist | LLM Evaluation & Linguistic QA
Fujairah, United Arab Emirates - 4:00 am local time
WHAT I CAN DELIVER
• LLM output evaluation and model-output grading
• Arabic/English linguistic QA and cultural-fit review
• Prompt and rubric design
• AI training-data annotation and review
• Python-first evaluation workflows
• Research-backed analysis and reproducible documentation
I am the sole author of YMERA, a published 21-agent LLM-evaluation study with a public benchmark dataset (Zenodo DOI: 10.5281/zenodo.20256693). I also delivered a 60-minute Emirati-Arabic conversational voice-data assignment for Andovar and completed multiple AI-evaluation assessments, including two AI-led interviews with micro1.
Before moving into independent AI work, I spent 11 years at e& (Etisalat) in business sales, enterprise account management, and operations leadership. Verified results include 40% corporate-client growth, 32% revenue growth, 95% client retention, and achieving 110–120% of sales targets.
Available immediately for remote projects, 30–40 hours per week. I follow requirements carefully, document decisions clearly, and deliver evidence-grounded work.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Analyse your use case and audience
I map your scenarios, target audience, and platform to identify the exact Gulf Arabic dialect register, vocabulary set, and cultural tone conventions your prompts need to produce.
Engineer and test each prompt
Each prompt is built using my 6-element Gulf Arabic optimisation framework: dialect spec, tone instruction, terminology guide, avoidance rules, format control, and cultural alignment.