Meet Our Team
Our writers bring diverse expertise spanning AI research, software development, creative technology, and enterprise consulting. Every article is backed by real-world experience.
Founder
Mike
I built WAMIB because I was tired of the hype. Every day there's a new “revolutionary” AI tool, but nobody tells you which ones are actually worth your time and money. This is the resource I wish I had—practical guides, honest comparisons, and real recommendations.
Our Writers
Amy Chen
AI Educator & Digital Strategist
Amy Chen is an AI educator and digital strategist dedicated to making artificial intelligence accessible to everyone. With a background in digital marketing and a passion for emerging technology, she's spent the past several years helping businesses and individuals navigate the rapidly evolving tech landscape. Amy began her career in digital marketing, where she quickly recognised the transformative potential of AI tools. She became an early adopter of AI assistants and has since tested hundreds of AI applications across productivity, creativity, and business operations. At Which AI Model Is Best, Amy specialises in beginner-friendly guides, practical how-tos, and real-world AI applications for small businesses. Her writing style is warm and approachable—she believes that understanding AI shouldn't require a technical background. Amy is particularly focused on helping non-technical users overcome the intimidation factor of AI. Her articles break down complex concepts into actionable steps, always with a focus on practical outcomes rather than technical jargon. Outside of writing, Amy runs workshops on AI adoption for small business owners and consults on digital transformation projects. She's a firm believer that the best AI tools are the ones you'll actually use.
Marcus Webb
Senior Technical Writer & AI Developer
Marcus Webb is a senior technical writer and software developer with over 12 years of experience in the technology industry. He has worked as a developer at several tech companies before transitioning to technical writing. His career spans backend development, DevOps, and more recently, AI integration and tooling. Marcus has hands-on experience implementing AI solutions for clients, from building RAG pipelines to deploying local LLM infrastructure. At Which AI Model Is Best, Marcus focuses on developer-oriented content: in-depth tutorials, technical comparisons, and practical implementation guides. He believes in teaching through doing, and every tutorial he writes includes code he's actually tested. When not writing about AI, Marcus contributes to open-source projects and speaks at local developer meetups about practical AI adoption. He's particularly passionate about making advanced AI concepts accessible to developers of all skill levels.
Sarah Mitchell
AI Research Analyst & Ethics Writer
Sarah Mitchell is an AI research analyst with a background in machine learning and a focus on AI safety and ethics. She spent several years in academic research, studying topics including algorithmic fairness and the societal implications of automated decision-making systems. Sarah brings a research-driven perspective to her writing, translating complex academic concepts into accessible insights for a general audience. She specialises in explaining how AI systems actually work under the hood, their limitations, and the ethical considerations that should guide their deployment. Her articles focus on AI capabilities and limitations, safety considerations, emerging research trends, and helping readers develop critical thinking skills when evaluating AI claims. Sarah believes that understanding AI's boundaries is just as important as understanding its potential. She stays current with the latest AI research and brings that knowledge to her analysis of new models and industry developments.
James Nakamura
Creative Director & AI Art Specialist
James Nakamura is a creative director and digital artist with over a decade of experience in visual design, branding, and creative technology. He has worked with agencies and brands across multiple countries on projects ranging from brand identity to digital campaigns. James was an early adopter of AI image generation tools, experimenting with DALL-E during its beta period and later integrating Midjourney, Stable Diffusion, and other generative tools into professional creative workflows. He has led AI-assisted design projects for startups and established brands, developing practical frameworks for combining human creativity with AI capabilities. At Which AI Model Is Best, James focuses on creative applications of AI: image generation, writing assistance, video creation, and design tools. His articles emphasise practical techniques, creative workflows, and honest assessments of what AI can and cannot do in creative fields. James is particularly interested in the intersection of AI and human creativity—not as replacement, but as collaboration. His tutorials and guides help creatives of all skill levels incorporate AI tools into their work while maintaining their unique creative voice.
Priya Sharma
Enterprise AI & Data Privacy Expert
Priya Sharma is an enterprise AI consultant with extensive experience helping organisations adopt AI technologies responsibly and effectively. She has spent years advising companies on digital transformation, with a focus on AI implementation, data governance, and regulatory compliance. Priya has guided organisations through AI adoption in highly regulated industries including financial services, healthcare, and government. Her expertise spans the practical challenges of enterprise AI: vendor evaluation, data privacy compliance, security considerations, change management, and building business cases for AI investment. She understands that successful AI adoption requires more than good technology—it requires organisational alignment, proper governance, and realistic expectations. At Which AI Model Is Best, Priya writes for business leaders and decision-makers navigating AI adoption. Her articles cover enterprise AI strategy, data privacy, security best practices, and practical frameworks for evaluating AI vendors and solutions. She cuts through the hype to focus on what actually matters for business outcomes.
Tom Richardson
AI Productivity & Automation Specialist
Tom Richardson is an AI productivity specialist who helps individuals and teams work smarter with AI tools. With a background in operations management and a passion for efficiency, he's spent the past several years exploring how AI can streamline everyday work. Tom started his career in project management, where he became obsessed with finding better ways to handle repetitive tasks. When AI assistants emerged, he dove in headfirst—testing every tool, building custom workflows, and documenting what actually works versus what's just hype. His practical approach comes from real experience: he's helped marketing teams cut content production time in half, assisted consultants in automating their research processes, and guided small business owners through setting up AI-powered customer service. At Which AI Model Is Best, Tom focuses on the practical side of AI adoption: productivity workflows, automation setups, tool integrations, and getting real results from AI without the technical complexity. His articles are designed for busy professionals who want AI to save them time, not create more work. Tom believes the best AI workflow is one you'll actually use. His guides prioritise simplicity and immediate value over flashy features.
Our Editorial Standards
Hands-On Testing
We don't just read the documentation—we use these tools. Our reviews and comparisons are based on real-world experience with the products we cover.
Expert Knowledge
Each writer focuses on their area of expertise. Technical articles come from developers, research analysis from researchers, and business guidance from enterprise consultants.
Honest Assessment
We highlight limitations alongside capabilities. AI tools aren't magic, and understanding their boundaries is as important as understanding their potential.
Regular Updates
The AI landscape changes rapidly. We revisit and update our content to ensure it remains accurate and relevant as tools and capabilities evolve.
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