Kaleigh Moore, a seasoned freelance writer and editor with over a decade of experience contributing to esteemed publications like Shopify, Forbes, Vogue, and Adweek, is actively engaged in understanding the transformative impact of Artificial Intelligence on her profession. In a recent comprehensive discussion, Moore offered a nuanced perspective on AI, characterizing it as a powerful tool that can significantly enhance efficiency while simultaneously highlighting its inherent limitations, particularly its inability to conduct human interviews or learn from lived experience. Her insights shed light on the practical applications of AI for entrepreneurs, her preferred platform for AI-driven composition, and essential strategies for integrating these tools into a writing workflow.
The conversation, transcribed and edited for clarity, delved into the core of how AI is reshaping the creative industries. Moore, whose freelance career began over twelve years ago with early contributions to e-commerce giants like Shopify, including a foundational case study for Beardbrand, brings a wealth of industry knowledge to the discussion. Her perspective is informed by years of crafting compelling narratives and engaging content for a diverse range of B2B and SaaS companies within the e-commerce ecosystem.
The Double-Edged Sword: Efficiency vs. Originality in AI Composition
A central theme of Moore’s analysis is the dual nature of AI in content creation. She acknowledges the "incredible" efficiency gains offered by emerging AI composition tools, particularly in streamlining repetitive and time-consuming tasks. "The tedious parts of writing, such as e-commerce product descriptions, are greatly increased in efficiency," Moore stated. This efficiency boost is a significant draw for businesses looking to scale content production without proportionally increasing human resources. For instance, the ability to generate multiple product descriptions from a single set of product attributes can save hours of manual labor for online retailers.
However, Moore is quick to temper this enthusiasm with a critical observation: AI tools operate on existing information and do not possess the capacity for true original thought or experiential learning. "AI tools operate on existing information. They are not creating something new," she emphasized. This distinction is crucial for understanding the value proposition of human authorship. Human composition, in Moore’s view, is characterized by "original perspectives – experiences, thoughts, and feelings." These unique human elements are what imbue content with depth, authenticity, and a distinct voice that resonates with audiences on a deeper level.
As a journalist by training, Moore places a premium on rigorous research, fact-checking, and the integrity of the content bearing her name. "I want to do my own homework, fact-check, and make sure I’m putting out the best of whatever my name is on," she explained. This commitment to journalistic ethics underscores her concern about the potential misuse or over-reliance on AI by younger professionals who may not have developed these foundational skills. Her own background, growing up in a pre-internet and pre-social media era, instills in her a profound appreciation for direct human interaction. "I hope we always have human experience and interaction – talk to each other, go to coffee," she expressed. From her vantage point, AI serves as a valuable supplement, not a substitute, for genuine human connection and engagement.
AI’s Impact on the Job Market and the Imperative of Adaptability
The evolving demands of the job market have also become a significant indicator of AI’s growing influence. Moore, who occasionally explores full-time in-house writing roles, has observed a marked shift in job descriptions over the past 18 months. Many positions now explicitly require "AI operational skills," emphasizing the ability to effectively utilize AI tools for content generation. This trend suggests that proficiency in AI interaction is rapidly becoming a prerequisite for even securing an interview in certain fields. "If you are not hands-on with these tools, you won’t even get an interview," Moore noted, highlighting the critical importance of continuous learning and curiosity about emerging technologies.
While some may view the current AI surge as a temporary "bubble," Moore’s assessment is far more definitive. "Some people say AI is just a bubble, but I don’t think so. It’s too powerful," she declared. This assertion is supported by the accelerating pace of AI development and its increasing integration across various industries, from customer service chatbots to sophisticated data analysis tools. The sheer utility and disruptive potential of AI suggest a more enduring and transformative impact than a fleeting trend.
Mastering the Art of AI Interaction: Prompt Engineering and Platform Selection
For writers and entrepreneurs seeking to harness the power of AI, Moore advocates for a proactive and systematic approach. She likens the daily influx of AI-related information to a "fire hose," necessitating a journalistic mindset to navigate and discern valuable insights. A cornerstone of effective AI utilization, according to Moore, is the development of "very strong prompts." The more refined and specific a prompt, the more accurate and useful the AI’s output will be. This concept, often referred to as "prompt engineering," has emerged as a critical skill in the AI era.
Beyond prompt crafting, Moore stresses the importance of embracing new functionalities and overcoming the potential intimidation factor associated with the proliferation of AI tools. Her preferred AI platform is Anthropic’s Claude, which she finds delivers "very good" outputs. Moore highlights Anthropic’s commitment to open-source principles, transparency, and its prioritization of ethical considerations and data privacy as key differentiators. "For me as a writer, Claude is the best. It’s also a great place to start," she recommended, suggesting it as an accessible entry point for those new to generative AI.
Generative AI platforms like Claude offer a versatile toolkit for entrepreneurs and marketers. Their capabilities extend to generating promotional emails, crafting social media posts, and drafting LinkedIn articles, among other applications. A significant advantage of these platforms is their ability to learn and adapt to a specific "voice and style" from existing content, allowing for a more personalized and brand-aligned output.
Training AI for Brand Consistency and Voice
The process of training AI to mimic a specific writing style is akin to onboarding a new team member. Moore explains her personal approach: "I feed Claude good, strong examples of my published articles, case studies, and guides to provide points of reference." This method is analogous to providing a junior writer with a style guide and a portfolio of exemplary work. The goal is to establish clear and specific guidelines, including explicit instructions on preferred vocabulary and stylistic nuances. "Lots of dos and don’ts. Use this word; don’t use this one," she elaborated.
A key advantage of AI in this regard is its retentive capacity. Unlike humans who may forget or misinterpret instructions, AI, once trained, "never forgets." Furthermore, this training can be iteratively updated, allowing for continuous refinement. However, Moore cautions against overwhelming the AI with excessive data. "More examples are not always better. AI can get confused by too much information," she warned. A curated dataset, such as a user’s top ten tweets, combined with general preferences, can serve as an effective starting point for training.
The Strategic Use of AI for Content Briefs and Output Refinement
For entrepreneurs aiming to publish blog posts or other forms of content, Moore advocates for the detailed provision of comprehensive briefs. This involves specifying the targeted keyword, the intended audience, brand names to avoid, and the data sources to be cited. While a simple request for a 500-word blog post on a given topic might yield a "pretty good output," a full brief significantly enhances the quality of the result, minimizing the need for extensive editing. "The more advanced we are at prompting, the better the output," Moore reiterated.
The choice between spending time editing AI-generated content or meticulously preparing the initial brief is a strategic one. Moore’s own experience suggests that editing AI text often involves rectifying factual inaccuracies, as AI can "hallucinate" or fabricate information, including non-existent data citations. This underscores the critical role of human oversight in the fact-checking process.
Furthermore, AI’s current limitations prevent it from engaging in direct human interaction, such as interviewing experts or conducting field research. These essential journalistic and research activities must still be integrated by human contributors into the content creation process. "AI cannot interview or speak with an expert. We have to integrate those afterward," Moore concluded.
Staying Connected with Kaleigh Moore
For those interested in learning more about Kaleigh Moore’s work and her insights on AI in content creation, she can be reached through her official website, KaleighMoore.com. She is also active on social media platforms, maintaining a presence on X (formerly Twitter) and LinkedIn, where she continues to share her expertise and engage with the broader professional community. Her ongoing contributions to discussions around AI and content creation are invaluable for professionals seeking to navigate this rapidly evolving landscape.
