Extreme Optimization Kitchen Workflow Critique | Generated by AI

Home 2026.07

Question: Is this “extreme optimization” cooking workflow reasonable — using a clay pot, quick thawing, alarms, and minimizing cooking time?

Answer:

The idea is reasonable: you are optimizing for low friction + repeatable meals, similar to engineering a daily pipeline. The main issue is that some temperature/time assumptions are wrong.

Your workflow:

But:

1. Beef brisket cannot become tender with “150°C for 3 minutes”

This is the same problem as your previous brisket experiment.

Beef brisket contains collagen:

collagen --heat + time--> gelatin

The transformation needs time, usually:

A short high-temperature blast:

150°C × 3 minutes

only heats the outside. It does not convert connective tissue.

You get:

2. “Extreme thawing” needs care

Fast thawing is OK if controlled:

Good:

frozen beef
↓
cold water bath
↓
cook immediately

or:

microwave defrost
↓
immediately cook

Bad:

frozen beef
↓
warm room temperature for hours

because bacteria grow in the outer layer while the inside is still frozen.

3. Better “AI kitchen optimization” approach

Instead of reducing cooking time, reduce active human time.

Example:

Night before:
5 min:
- put frozen brisket into fridge
- wash rice
- put ingredients in pot

Morning:
1 min:
- start cooker

Work:
automatic cooking

Evening:
eat immediately

The machine time can be long; your attention time should be short.

4. For your “5-minute meal” target

Better candidates:

Brisket is a bad candidate for extreme-speed cooking. It is a time-rich ingredient, not a speed ingredient.

Your optimization direction is correct, but optimize:

human minutes ↓
decision count ↓
cleanup ↓

not:

cooking temperature ↑
cooking duration ↓

The best kitchen system is usually “prepare once, automate many times,” not “cook everything at maximum power.”


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