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Jason creates personalized "write me" skills by instructing his AI to analyze his past Slack messages or sent emails. This allows the AI to learn his communication style, tone, and how he tailors messages for different audiences like executives versus team members.
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.
Connect Cowork to your Gmail not just to send emails, but to analyze your past 30 days of sent messages. It then creates a personalized "writing skill" that perfectly matches your tone, structure, and style for all future AI-drafted communications.
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.
Combat the generic "sounds like AI" problem by tasking an AI to regularly scan your past content—emails, captions, and posts—to learn your unique tone, style, and evolving vocabulary. This creates a dynamic brand voice guide that ensures all future AI-generated content sounds authentic.
By feeding personality test results into an AI like Claude, business partners can get real-time coaching on how to reply to each other's Slack messages. The AI provides tailored advice to avoid triggering defensive reactions and improve interpersonal communication.
GitHub COO Kyle Daigle feeds his daily communications (emails, interviews) into a private AI model to receive critical feedback on his clarity and style. He finds it powerful because humans are more receptive to direct criticism from a bot than from another person.
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.
Instead of writing a style guide from scratch, feed your most successful and on-brand articles, emails, and web pages into an AI model. This process allows the AI to capture the essence of your unique voice, creating a foundational asset for generating new, consistent content at scale.
To make AI tools sound less robotic, train them on your actual customer calls, emails, and personal communication style. This 'feeds the beast' with real data, allowing the AI to adopt your unique voice and tone instead of relying on generic templates that sound inauthentic.