My expertise lies in maximizing the reliability and performance of Large Language Models (LLMs) and Generative AI. I translate complex, ambiguous human intent into structured, high-performing outputs. I design, optimize, and refine inputs (prompts) to ensure efficiency, precision, relevance, and coherence, transforming vague inquiries into actionable business solutions. Areas: Precision Engineering & Output Control – Crafting clear, specific prompts, enforcing structure (Markdown, JSON), and using delimiters (XML tags, quotes) to prevent hallucinations. Advanced Reasoning & Personas – Assigning roles (e.g., editor, engineer, coach), applying Chain-of-Thought (“step by step”), and few-shot learning for consistent domain accuracy. Systems Integration & Agentic Design – Building system prompts for agent workflows, enabling LLMs to plan, act, and maintain coherence across multi-turn tasks. Iterative Optimization – Testing, scoring, and refining prompts until results are reliable.