Ruhlsman's "Ratio" is also quite good at distilling the mechanics of food into an algorithm of sorts.

https://www.simonandschuster.com/books/Ratio/Michael-Ruhlman...

yeah I took a look at this and others and tried to pull together some helpful 'flavor maps':

https://transcendent-choux-d1b930.netlify.app/

> The trouble I find with LLM generated recipes is they miss the nuance of the technique. Often the success of a depends on a single step or ratio. For instance “fried chicken” has a million incarnations the world over, but you can’t just average out the recipes and end up with tasty fried chicken.

Specify what technique you want. Explicitly say you want to correctly follow all the techniques of the chosen cuisine.

All the LLMs have ingested nearly every cookbook ever made, across multiple languages.

You can upload a photo of your spice rack (with visible labels) to ChatGPT and tell it to save your pantry ingredients as a memory.

LLMs are absurdly overpowered for cooking, when used right. If you ask it for a week long meal prep plan the results will be meh, but ask it for kheer inspired rice crispy treats (which everyone reading this should to, kheer rice crispies are the best!) and you'll get some solid results.

You may notice at first the LLM will still water things down for "American" tastes. With Claude/ChatGPT you only need to remind it once or twice not to do that and it'll course correct all future conversations.

Sounds like The Flavor Bible - it's a great reference book to find pairings of ingredients.

Sounds like the flavour theaurus