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🧠 Fundamentals

Before any technique: why extracting what's in your head is the most rewarding work. The model is the same for everyone—your advantage is the context.

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Topics
~45min
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you + Opus 4.8 colleague + Opus 4.8 everyone + Opus same model for everyone + 🧠 YOUR Context taste · voice · decisions = output that sounds like YOU the difference between 80% → 95%

Read from left to right: the model is the same for everyone. What changes the result is the context that only you have — and grill-me exists to draw it out.

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1.1 ~45 min · 8 topics

🧠 Why Context Extraction Is the Whole Game

The conceptual foundation: why the model has become a commodity, what tacit knowledge is, why a brain dump fails, and what makes grill-me worthwhile.

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What it is:

If you and everyone else use the same Claude Opus 4.8, the same prompt produces the same result. The model is an identical starting point.

Why learn:

It dispels the illusion that “improving the prompt” is the differentiator. It isn’t—the differentiator is the context.

Key concepts:

Model commoditization · same input → same output · where the real advantage lies.

What it is:

When you add your context, preferences, and decisions to the model, the output starts to sound like you.

Why learn:

That’s exactly what skills and docs carry. Without your context, everything stays generic.

Key concepts:

Context = advantage · taste/voice/decisions · generic vs. original.

What it is:

The hard part isn’t the model understanding—it’s getting knowledge out of your head, where it’s tacit and disorganized.

Why learn:

Recognizing this changes the focus: the bottleneck is extraction, not prompt engineering.

Key concepts:

Tacit vs. explicit · the extraction bottleneck · why it’s uncomfortable.

What it is:

Dumping everything into Claude for 5 minutes seems sufficient, but it never is: you generalize, forget, and leave gaps.

Why learn:

It’s the rationale for the interview: only targeted questions reveal what a free-form dump hides.

Key concepts:

Invisible gaps · expert bias · asking > dumping.

What it is:

"If I had 6 hours to chop down a tree, I’d spend 4 sharpening the axe." Grilling is sharpening before you chop.

Why learn:

Justifies spending “boring” time at the start—it pays off many times over later.

Key concepts:

Cost upfront · downstream return · productive patience.

What it is:

Without grill-me, you start iteration 1 at nearly 70%. With it, nearly 90%—and you still iterate, just from a much better starting point.

Why learn:

Show the concrete improvement: fewer iterations to get the skill to a reliable state.

Key concepts:

Starting point · number of iterations · never reaches 100% (and that's okay).

What it is:

A markdown file in brainstorms/ where each answer is recorded. The file, not the model’s context, is the source of truth.

Why learn:

The context window fills up and the model forgets. The file preserves everything that was said.

Key concepts:

Disk > model memory · checkpoint · a predictable home.

What it is:

Use it to stress-test a plan, do discovery, or extract a process. Don’t use it for a trivial, well-defined task.

Why learn:

Knowing the limit keeps you from turning everything into an interrogation when there's nothing to extract.

Key concepts:

Good for: design, discovery, process · bad for: obvious tasks.

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