You will get An audit and fix of your AI prompts for consistent outputs
Project details
Your AI model is capable. The problem is almost always the prompt — not the model. If your prompts give inconsistent results, vague outputs, wrong formats, or answers that miss the point entirely, I will find exactly why and fix it. I audit your existing prompts, diagnose every structural weakness, and rewrite each one using chain-of-thought structuring, few-shot examples, role setting, and output constraints. I have applied these techniques across 200+ prompts building a live 23-tool web platform — every prompt had to produce production-ready results with zero errors. That discipline is what I bring to your prompts.
AI Development Type
Knowledge Representation, Model TuningAI Tools
Amazon SageMaker, Google AutoML, MLflowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$40
|
Standard
$75
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Extra Prompt Audit
(+ 2 Days)
+$10Frequently asked questions
About Muhammad Zain
Prompt Engineer | AI Workflow Automation | Claude & GPT-4 Integration
Lahore, Pakistan - 4:57 pm local time
My flagship project is Aservus — a live 23-tool web platform I built end-to-end using structured prompt engineering as the primary execution method. Across 15+ AI sessions I engineered 200+ prompts to design, audit, debug, and deploy all 23 tools covering JavaScript systems, cloud API integrations (Google Drive, Dropbox), SEO schema, accessibility compliance, and automated image processing pipelines. Every output was validated automatically before deployment — zero errors across all 23 tools.
I help businesses and developers use AI more effectively: building LLM-powered automation pipelines, designing prompts that produce consistent outputs, integrating Claude and OpenAI APIs into existing systems, and turning vague AI ideas into working, deployable solutions. If your team has an AI use case but is struggling to make the model do exactly what you need — that is my speciality.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Zain can start the project.
Delivery time starts when Muhammad Zain receives requirements from you.
Muhammad Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Prompt Review
I review every prompt you share, test it against your described use case, and document all structural weaknesses — missing context, no output format, unclear role, ambiguous instructions.
Prompt Optimization
I rewrite each prompt from scratch using proven techniques and send you the fixed versions with a plain-English explanation of every change made and why it works better.