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.

To make ghostwritten content sound authentic, train a custom ChatGPT on an executive's past writing, such as emails or Slack messages. This helps capture their unique voice and tone, making drafts significantly closer to their natural style.

Don't let an AI agent generate sales copy from scratch. The key to creating high-quality, effective outreach is to train the model using the proven email templates and scripts from your highest-performing salesperson. This provides a strong baseline for the AI to iterate and test from.

Top sales rep Evan Greek uses a GPT model she personally trained to mimic her writing style. By providing feedback on drafts, the AI learns her preferences for tone and structure, allowing her to combine the speed of automation with genuine personalization.

Unlike training a human, feeding an AI SDR historical 'good' emails can limit its effectiveness. The better approach is to train it on core personas and ways to add value, allowing the AI to use its ability to scrape vast, real-time data for hyper-personalization.

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.

Amol Avasare uses Claude to generate weekly feedback from the perspective of his manager. He instructs the AI to analyze his manager's public writing and internal communications to create a model of her priorities and style, then asks it to evaluate his week's work and provide feedback as if it were her.

To scale content creation without losing your voice, train a custom GPT on your existing content (newsletters, articles, transcripts). If you lack a large corpus, have the AI generate interview questions for you, record your answers, and use that transcript as the training data.