In today's episode, we show how to turn AI from a bland, generic appliance into a highly personalised tool that actually speaks and thinks like you by treating models as temporary environments and encoding your identity in local NLP-based “voice files” and an AI brain.

I walk through Heather’s method — granular written voice specs (including lists of forbidden words), logical levels mapped to simple markdown files on your machine, and the idea that ChatGPT or Claude are just swappable ovens in your kitchen.

We give concrete examples: a Language Pattern Practice app that gamifies audio drills (yes, people were doing it at 11pm — witchcraft, I tell you) and a Strategy Detective that runs tote loops to pull out submodalities via a voice-only interface.

Crucially, we stress that AI is a lightning-fast pattern generator but blind to micro‑cues, so the human retains veto power with a simple keep/edit/reject workflow — reject is practically sacred. That flips your professional value from churning content to exercising real-world discernment: you’re the master architect, not the machine.

For a practical nudge, Heather challenges you to name one thing you’d happily hand over to AI and one thing you’d never outsource, and to explain why — that “why” is your irreplaceable X‑factor.

Oh, and meta moment: this episode is AI-generated from the Start With AI Newsletter on LinkedIn using NotebookLM, so we’re practising what we preach with a cheeky grin.

If you want practical takeaways, we get delightfully tactical. I walk you through how to start building your own AI brain today: pick a handful of core phrases you love, list words you hate, dump them into simple markdown files on your laptop, and point whatever chat tool you’re using at that brain. Example: forbid “delve” and “unprecedented” and watch your outputs stop sounding like corporate stock photos.

Then try Heather’s Language Pattern Practice app idea — make repetition audio‑based and gamified so students actually do their homework (yes, people will practise language drills at 11pm if it’s fun).

For coaches and training programmes, outsource the boring repetition to the AI game and keep the live session for human calibration and reading the room. We also give a short workflow for coaches:

(1) choose one repeatable task you trust the AI with (homework quizzes, pattern drills),

(2) choose one thing you won’t hand over (real‑time empathy, reading micro‑expressions),

(3) codify your voice and values in markdown,

(4) use the AI to generate options and always keep the veto. The Strategy Detective app is a beautiful template: voice‑only prompts keep people inside the memory, elicit submodalities (brightness, movement, sound) and build anchors.

Final nudge from us: do Heather’s two‑question exercise — what you’d hand over and what you’d guard — because that “why” is the secret sauce of your professional brand.

• 00:12 - The Signature of AI-Generated Writing
• 01:38 - Mission: Personalizing AI — Making Models Sound Like You
• 06:21 - Creating an AI Brain: Solving Copy-Paste Fatigue and Platform Lock-In
• 09:46 - From Theory to Practice: Two Concrete NLP Applications
• 14:43 - Where Humans Still Matter: The Practitioner’s Role
• 19:36 - From Theory to Practice: Applying AI to Education & Training

• We learned that a written voice file — not an audio clip — can shove that bland, corporate stock-photo voice right out and make the AI sound like you, not like a robot.
• I realised that building an 'AI brain' with simple local markdown files keeps our identity portable, prevents vendor lock-in, and means we update once and every model happily reads our rules.
• We explored how mapping Neuro-Linguistic Programming's logical levels onto AI turns environments like ChatGPT into swappable tools, while identity, beliefs and values live in our files so the model follows us, not the other way round.
• I loved the Strategy Detective idea: a voice-only tote loop that guides you through sensory submodalities of success, helping you recreate winning behaviours without the keyboard yanking you out of the memory.
• We agreed the human keep/edit/reject power is priceless — AI can spit out a hundred shiny options, but only we can read micro-expressions and veto what doesn't actually fit the person in front of us.

Companies mentioned in this episode:

• ChatGPT
• Claude
• Grok
• Twitter