Instead of using AI to generate generic text, leverage it as a partner to enhance your unique voice. A powerful technique is to have AI interview you to create a "story log"—a database of your personal anecdotes and experiences. This provides authentic, non-replicable material for future content.

Amy Porterfield dictates her personal stories to ChatGPT, then prompts it to extract the key parts into a concise draft. This uses AI as a partner for clarity and structure while preserving her authentic voice, avoiding soulless, AI-generated content.

A powerful workflow is to explicitly instruct your AI to act as a collaborative thinking partner—asking questions and organizing thoughts—while strictly forbidding it from creating final artifacts. This separates the crucial thinking phase from the generative phase, leading to better outcomes.

To get the best results from AI, treat it like a virtual assistant you can have a dialogue with. Instead of focusing on the perfect single prompt, provide rich context about your goals and then engage in a back-and-forth conversation. This collaborative approach yields more nuanced and useful outputs.

The concept of "taste" is demystified as the crucial human act of defining boundaries for what is good or right. An LLM, having seen everything, lacks opinion. Without a human specifying these constraints, AI will only produce generic, undesirable output—or "AI slop." The creator's opinion is the essential ingredient.

AI cannot replicate your lived experience, personal experiments, or unique perspective. To make your content "AI-proof," lead with your own stories, data, and case studies. Sharing screenshots, income reports, and personal struggles creates content that AI can't remix, making your voice irreplaceable.

Most AI writing tools produce generic content. Spiral was rebuilt to act as a partner. It first interviews the user to understand their thoughts and taste, helping them think more deeply before generating drafts. This collaborative process avoids "slop" and leads to more authentic writing.

To avoid robotic content, use “humanization prompting.” This involves uploading transcripts of your natural speech (from interviews or voice notes) to a custom GPT’s knowledge base, training it to adopt your unique cadence, vocabulary, and style.

Generic AI tools provide generic results. To make an AI agent truly useful, actively customize it by feeding it your personal information, customer data, and writing style. This training transforms it from a simple tool into a powerful, personalized assistant that understands your specific context and needs.