You will get Design Production-Grade Prompt Engineering & AI Agent Logic
Project details
I design production-grade prompt systems using the same architectural principles used by OpenAI, Anthropic, and Google — not basic “prompt writing.”
This service focuses on system prompts, constraints, reasoning control, guardrails, and output contracts that make AI agents reliable, scalable, and non-hallucinating in real-world use.
Instead of one long prompt, I build a structured prompt framework that separates:
System instructions
Behavioral constraints
Decision logic
Reasoning rules
Input variables
Output formats
This approach dramatically improves consistency, reasoning accuracy, and edge-case handling — often resulting in 10–30× better performance compared to standard prompts.
These prompt systems are used in:
AI agents & copilots
Voice AI & chatbots
Automation workflows
Internal tools & SaaS products
You’ll receive a clear, documented prompt architecture that your team can reuse, extend, and maintain — not a black-box prompt.
If you’re serious about using AI in production (not demos), this is the foundation.
This service focuses on system prompts, constraints, reasoning control, guardrails, and output contracts that make AI agents reliable, scalable, and non-hallucinating in real-world use.
Instead of one long prompt, I build a structured prompt framework that separates:
System instructions
Behavioral constraints
Decision logic
Reasoning rules
Input variables
Output formats
This approach dramatically improves consistency, reasoning accuracy, and edge-case handling — often resulting in 10–30× better performance compared to standard prompts.
These prompt systems are used in:
AI agents & copilots
Voice AI & chatbots
Automation workflows
Internal tools & SaaS products
You’ll receive a clear, documented prompt architecture that your team can reuse, extend, and maintain — not a black-box prompt.
If you’re serious about using AI in production (not demos), this is the foundation.
Machine Learning Tools
BERT, ChatGPT, GPT-3, NLTK, Python, Stanford CoreNLPWhat's included $499
These options are included with the project scope.
$499
- Delivery Time 3 days
- Number of Revisions 0
Frequently asked questions
About Burhan
Applied AI Researcher | AI Automation & Conversational AI Specialist |
Lahore, Pakistan - 12:20 pm local time
My work centers on designing reliable, end-to-end AI systems that operate under real-world constraints, handle edge cases, and integrate directly into existing business workflows.
I specialize in:
• AI automation systems for customer-facing and internal operations
• Conversational Voice AI for call handling, booking, routing, and escalation
• Agentic / multi-agent workflows with tool use, constraints, and failure handling
• Workflow orchestration connecting AI systems to CRMs, calendars, and operations
• Production reliability, including monitoring, human handoff, and continuous improvement
Applied AI Research & System Improvement
A core part of my work involves applied AI research focused on improving agentic and conversational AI systems in production. I analyze system behavior, identify failure modes such as unreliable reasoning, edge-case breakdowns, and decision inconsistency, and iteratively refine prompts, constraints, tool usage, and escalation logic to improve correctness, reliability, and overall system performance over time.
Since 2017, I’ve built and operated businesses; since 2023, I’ve been deploying live AI voice and automation systems for real clients across service industries and healthcare.
I work independently and asynchronously, owning systems from discovery and architecture through deployment and iteration in production.
Steps for completing your project
After purchasing the project, send requirements so Burhan can start the project.
Delivery time starts when Burhan receives requirements from you.
Burhan works on your project following the steps below.
Revisions may occur after the delivery date.
Use-case review & goal alignment
I review your use case, constraints, and success criteria to ensure the prompt architecture matches real production needs.
Prompt system design & logic structure
I design system prompts, constraints, reasoning rules, and output contracts using a production-grade framework.