Develop superior AI-generated copy by first using an AI agent to research and deconstruct the frameworks of top marketers. Then, feed the AI examples of your own writing to distill a unique brand voice. Combining these into a custom 'skill' produces consistent, high-converting copy that feels authentic.

When prompting ChatGPT for scripts, add a final instruction: "tell me why that script should be engaging." This forces the AI to evaluate its own output against strategic goals, leading to better, more thoughtful suggestions and helping the creator understand the underlying strategy.

Avoid using AI to create sales outreach from scratch ('black pen'). Instead, use it as an editor ('red pen'). Apply the 10-80-10 rule: 10% human-led prompting, 80% AI-driven task execution, and a final 10% human refinement. This maintains quality while boosting efficiency.

Leverage AI in email marketing not to replace your voice, but to augment it. Use tools like ChatGPT as a brainstorming partner to generate angles and outlines. This frees up your creative energy to focus on infusing the content with personal stories and genuine connection that only a human can provide.

Instead of asking AI to generate generic blog posts, use it for strategic ideation. Prompt ChatGPT with a detailed description of your ideal client and their transformation, then ask it to list their top 25 problems or questions. This provides a roadmap for creating highly relevant, problem-solving content.

AI-generated text often falls back on clichés and recognizable patterns. To combat this, create a master prompt that includes a list of banned words (e.g., "innovative," "excited to") and common LLM phrases. This forces the model to generate more specific, higher-impact, and human-like copy.

Instead of asking an AI tool for creative ideas, instruct it to predict how 100,000 people would respond to your copy. This shifts the AI from a creative to a statistical mode, leveraging deeper analysis and resulting in marketing assets (like subject lines and CTAs) that perform significantly better in A/B tests.

Instead of asking an LLM to generate a full email, create a workflow where it produces individual sections, each with its own specific strategy and prompt. A human editor then reviews the assembled piece for tone and adds "spontaneity elements" like GIFs or timely references to retain a human feel.

AI's strength in copywriting is not generating final text, which often lacks a human touch. Instead, use it as a research assistant to find unique concepts, analogies, or data (like the 'Michelangelo effect') that can serve as the core, attention-grabbing idea for your campaign.