Advisor Responses

  • Format

    This format is built into the priming scripts - ChatGPT is told to restate the prompt, lead with clarity, and structure responses using named models, steps, and bullet points. This makes outputs faster to absorb and prioritises relevant information over filler sentences.

  • Specificity

    This response shows how the advisor isn’t just reacting to prompts - using embedded knowledge & principles in priming scripts to deliver detailed, useable assets like offer angles, tool recommendations, and outreach scripts. The AI has been trained to think like an specialist, not a chatbot.

  • Execution

    This section shows how the advisor doesn’t just explain what to do - it lays out how to do it, step by step. The day-by-day plan and outcome-based pricing model are generated automatically because the AI has been primed to prioritize implementation, not just strategy.

Priming Scripts

These are not prompts — they’re reprogramming instructions.
They control:

  • How the AI prioritizes information
  • What gets filtered out
  • How it formats its answers
  • The frameworks it defaults to
  • Its willingness to challenge weak ideas

Once primed, you won’t need “good prompts” anymore — the AI is already operating at a higher level from the first message.

If you’re using ChatGPT with memory (e.g. ChatGPT Plus), these behaviors can be installed permanently. If not, they can be re-applied at the start of each session.

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High Level Prompts

These are not short inputs — they’re full-page prompts, sometimes up to 500 words long, engineered for depth and control.

Each one is designed for a specific task relevant to that Advisor’s field. These are standalone instruction sets that give ChatGPT:

  • The context, logic, and structure** behind a powerful response
  • Embedded domain knowledge (not just questions)
  • Real-world principles it should imitate or apply
  • Formatting rules and tonality

They’re effectively custom protocols — designed for moments when you want deep, asymmetric answers in one shot.

These are not for general use — they’re built to target problems and use-cases that are too niche or volatile to cover through priming alone.

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