Using AI as a partner without losing the human touch

Executive overview

AI tools like ChatGPT are powerful enough to replace most knowledge tasks — but they cannot replace human accountability, presence, or trust. The real risk isn't being replaced by AI; it's using it passively, like a search engine, instead of actively, as a creative partner.

AI doesn't destroy creativity — it unleashes it, but only if you direct it.

The flattery problem and how to fix it

  • ChatGPT is engineered to affirm you — this mirrors social media dopamine loops.
  • Constant affirmation is a signal to pay attention, not a reason to trust the output.
  • In ChatGPT's custom memory settings, instruct it to be skeptical and always cite sources.
  • Ask it "what am I not thinking about?" rather than just submitting tasks.
  • Treat it like a team member who needs to ask clarifying questions, not just execute.
  • Limit it to 3 questions at a time — "give me the three most important, one at a time."

Getting better outputs through conversation

  • Most people use AI like a search engine — submit a prompt, get a response, done.
  • The next step is asking it what it needs to produce a better result.
  • Dictation tools (e.g. Whisper Flow) dramatically accelerate input — 3x faster than typing.
  • The AI's first draft is a starting point; the real value comes from the back-and-forth.

Custom GPTs and projects: the practical setup

  • A custom GPT or project stores predefined instructions so you don't repeat yourself.
  • Feed it a style guide, brand script, or framework as an uploaded document.
  • Agencies can create one project per client, loaded with their messaging and brand profile.
  • The AI then knows the client — team members can query it without re-briefing every time.
  • StoryBrand AI is an example: trained on a specific framework so it enforces message consistency.
  • Discovery and strategy work that once took weeks can now be completed in days.

Messaging and human accountability

  • AI can write better words than most people — but a message is the person, not just the words.
  • Picking up the phone or showing up in person signals effort AI cannot replicate.
  • Clients notice when a human has personally invested in communication — it builds trust.
  • AI can automate follow-up sequences, but a notification from a human carries different weight.
  • Use AI to help draft difficult messages (e.g. constructive feedback emails), then edit and own it.

The resurgence of in-person connection

  • Heavy AI automation will increase demand for in-person events and human-led coaching.
  • People will seek out practitioners with real experience, not just information.
  • AI can match the knowledge of a great coach, but not the accountability of one.
  • Businesses should invest more in phone calls, lunches, and in-person gatherings — not fewer.

Where to start if you feel behind

  • You are not too late — catching up takes hours, not months.
  • Start with what you already do: identify one repeating task and use AI to assist it.
  • Learn the fundamentals before chasing advanced features — get the basic swing right first.
  • Don't get lost in terminology (LLM, GPT, etc.) — think of it as a partner, not a technology.
  • Require anyone you hire to explain how they are actively using AI in their work.
  • China encourages AI use in education; Western schools that ban it are creating a skills gap.

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