Good Enough to Cook From

While building Mise, I kept coming back to a simple product question: when is a recipe actually good enough to cook from?

A recipe looking complete on a screen is not the same as a recipe someone can actually cook from. A person needs to know what to buy, how much to use, what order to do things in, and when the food is done. The title and photo might help them choose. The ingredients and instructions have to help them finish. But the real test is if the meal plan is actually followed, without that final step Mise isn’t a success in my book.

A small error in a feed can be annoying. A missing quantity, an ingredient that never appears in the instructions, or a step with no useful timing can stop dinner halfway through. "Good enough" could not mean that every field was filled in. It had to mean that the recipe preserved enough intent for someone to move from planning, to shopping, to cooking without having to reconstruct the source themselves.

The clearest test came from my own kitchen. I started cooking from Mise daily, and one night I made a mushroom and tomato orzo with ricotta. I didn't tell my family it came from Mise. They ate it, nobody asked questions, and dinner was just dinner. A meal on the table is a human standard that is much better than "the parser returned a result" — it asks whether someone can actually trust what the product gave them.

When I started building Mise, I thought the value was giving people a fast way to find and swipe on recipes. That turned out to be a small part of it. A meal planning app is more human than I expected. It sits inside a week that already has picky eaters, a short window to cook, and a grocery run that has to actually work. The information has to hold up through all of that, not just look right on a screen.

That's been one of the bigger lessons of building something on my own. You can read about a problem, design around it, have a point of view on it, but you don't really understand it until you're in the details and something breaks. Building Mise taught me things about meal planning, about data quality, about what people actually need from a recipe, that I couldn't have gotten any other way. The real bar is whether someone can make dinner from it, and I only found that bar by cooking from it myself.

If you're building something, I'd encourage you to let AI help you get your hands dirty. Not to outsource the thinking, but to get into the details faster so the thinking gets better. The understanding you build from actually doing it is the part no tool can give you.