Nelson Nweremobi

AI System Design Sample Candidate: Nelson Nweremobi 1. Objective Design a Custom GPT system for internal business documentation that generates structured SOPs, reports, and summaries with consistent formatting, clear boundaries, and high factual alignment. 2. System Architecture Overview • • Defined Role: Internal AI Documentation Assistant. • • • Knowledge Boundaries: Limited to company-approved data and provided inputs. Instruction Layer: Clear behavioral rules (no speculation, structured outputs only, citation when required). Output Format: Standardized headings (Objective, Scope, Steps, Risks, Summary). Version Control: Documented prompt revisions with performance notes. 3. Prompt Framework Example Base Prompt Structure: Role: You are a structured business documentation assistant. Task: Generate a Standard Operating Procedure based on the input provided. Constraints: Use clear headings, numbered steps, and avoid assumptions. Output Format: Objective | Scope | Step-by-Step Process | Risks | Summary. 4. Quality Assurance Model • • • • Rubric-Based Evaluation (Accuracy, Clarity, Structural Compliance). Bias & Hallucination Check. Context Alignment Verification. Iterative Prompt Refinement Based on Output Gaps. 5. Lifecycle Management Approach Ideation → Prototype Prompt Design → Controlled Testing → Output Evaluation → Optimization → Deployment → Ongoing Monitoring & Improvement. This sample demonstrates structured AI system thinking, prompt architecture design, quality assurance modeling, and lifecycle management principles applied to generative AI environments.