Meet the Authors — PromptUse

Why Our Authors Matter

In the fast-moving world of AI, it is easy to find generic advice that sounds correct but falls apart in practice. We built PromptUse to be different. Our authors are not content marketers churning out surface-level articles — they are practitioners who use these techniques daily in their professional work.

Before any article is published, it goes through at least two rounds of review: first by a subject-matter expert to verify technical accuracy, and second by an editor to ensure clarity and usefulness. We publish under real names with verifiable credentials, because we believe readers deserve to know who they are learning from.

David Chen

Founder & Lead Editor — AI Prompt Engineering

David has worked with language models since GPT-3's research preview in 2020. He holds an M.S. in Computer Science from the University of Washington, where his thesis focused on prompt optimization for few-shot classification tasks. He spent four years as a machine learning engineer at Microsoft, building prompt engineering pipelines for enterprise NLP products. David oversees all content on PromptUse, ensuring every guide meets a high bar for accuracy and practical usefulness. He has spoken on prompt engineering at PyCon 2025 and GTC 2026.

Marcus Webb

Senior Technical Writer — Coding & Development

Marcus is a software architect with 15 years of full-stack development experience. He led engineering teams at Stripe and Auth0, where he pioneered internal AI-assisted coding workflows that reduced code review time by 40%. Marcus contributes the coding-focused guides on PromptUse, drawing from his daily experience using Claude, GitHub Copilot, and custom prompting pipelines. He holds a B.S. in Computer Engineering from Georgia Tech and maintains several open-source developer tools.

Sarah Patel

Content Strategy Lead — Business & Writing

Sarah is a content strategist who has helped over 50 companies — from seed-stage startups to Fortune 500 enterprises — design AI-assisted content workflows. She previously led content marketing at HubSpot and Notion, where she built internal prompt libraries that became the standard across the organization. Sarah holds an MBA from NYU Stern and specializes in prompts for marketing copy, sales outreach, business documentation, and academic writing. She is a frequent guest lecturer at General Assembly on AI content strategy.

Emily Nakamura

Data Science Lead — Advanced Techniques & Analysis

Emily holds a Ph.D. in Statistics from Stanford University, where her dissertation explored few-shot learning and chain-of-thought reasoning in large language models. She has published peer-reviewed papers in NeurIPS and ACL on prompt optimization and has consulted for OpenAI and Cohere on research projects. At PromptUse, Emily authors our most advanced guides on chain-of-thought, structured output, and self-consistency prompting, ensuring the advice is grounded in current academic understanding.

Our Editorial Standards

We hold ourselves to strict standards that go beyond typical blog content:

Hands-on verification: Every technique we recommend is tested with at least two major AI models (Claude and ChatGPT or Gemini) before publication.
Real examples only: All before/after examples, output comparisons, and case studies use actual prompt/response pairs — never fabricated results.
Date-stamped updates: AI models change. We review and update our top guides quarterly, with the last updated date displayed on every article.
No undisclosed affiliate content: We do not accept sponsored content or undisclosed product placements. If we recommend a tool, it is because we genuinely use it.
Accurate citations: When we reference research, we link to the original paper or source, not secondary summaries.

Contact the Team

Have a correction, suggestion, or want to collaborate? We read every message. Visit our Contact page to get in touch.