How to think about it

Not chess. Poker.

Chess has a right move. Poker — play it perfectly and still lose a hand. But over a season, the pro cleans up. Judge it over the long run.

And the edge is jagged

Brilliant here. Baffling there.

It’ll draft a flawless job spec, then miscount the words in it. Genius and nonsense sit right next to each other — and you can’t always tell which you’re getting.

What it really is

It’s a communication layer.

Fluent translation between you and the machine — however you want to talk to it.

type it say it say it on a walk live, mid-meeting

The old split just broke

A messy new hybrid

Humans

Slow, sloppy — but brilliant.

Computers

Fast, exact — but stupid.

AI

Fast & fluent — sometimes brilliant, sometimes nonsense.

Best of both. Worst of both. Your job is knowing which one you’re getting — and staying in the driver’s seat.

The one shift that changes everything

“Write me a candidate summary.”
it does the thinking → generic, and you stop learning
Help me write a candidate summary.”
it thinks with you → sharper, and you get better too

Augmentation > Automation. Don’t hand over the thinking — use it to think better.

…but not always · diagnostic accuracy

Sometimes you should automate.

74%
Doctors only
76%
Doctors + AI
improved
92%
AI alone
best

So point it at the right thing

Laundry — not art.

Aim it at the drudgery — the admin, the formatting, the first draft — so you get the time back for the judgment, the relationships, the work only you can do.

Which tasks do you hand over?

“Does it spark joy?

Sparks joy

Keep it. That’s your work.

It doesn’t

Hand it to AI.

Don’t end up folding laundry while it paints.

The 80 / 20

80%
20%

Everyone chases the last 20%. Usually fool’s gold.

Where is 80% enough? Where are you at 0 today? Where can you guarantee the 20%?

The landscape

Thousands of tools.
A handful of engines.

ChatGPT Claude Gemini Copilot Grok

Nearly every new tool is built on one of these. The tools churn — the engines stay.

Hare, or tortoise?

Sprint only where it’s your edge.

Everywhere else, be the tortoise — what a new tool does today, the big models embed in ~6 months.

The other edge

More data. More personal. Less trust.

Ch. 06 · LLMs — so what?