tylertreat

I am more concerned about the cost step up from Gemini 2.5 Flash to 3.5 Flash, with the latter being roughly 3x more expensive. I thought the intention of the Flash models was to be relatively low-latency and more affordable compared to Pro, but the newer Flash models aren’t being priced as such. Then again, the era of cheap and plentiful AI might be coming to an end…

Sorry, fix what page? I'm not sure I understand.

Gemini 2.5 Flash works quite well for it.

Let me know what you think or if there are areas that can be improved!

I get the skepticism as I shared similar thoughts on what recipe quality would be like. I'm also quite sensitive to AI slop. My wife, who really is an outstanding cook, was even more skeptical, and she has a _very_ high bar for recipes. To be clear, we don't use it to generate recipes for every meal. She has a collection of go-to favorites and then peppers in 1-2 AI recipes throughout the week, often to explore new things. She also uses it to create "Quick Bite" recipes for when we need something fast with whatever we have on hand, outside of an actual meal plan.

Honestly, I wasn't sure if the AI recipes were going to meet her standards when it comes to food, but so far she's been quite happy overall with the recipe quality. She often will request replacements or customizations, so the first pass suggestions are not always what she's looking for.

I realize it's definitely not for everyone though.

I'm sorry you hit that as it should definitely respect instructions around things like protein sources and ingredient selection. I'll take a look at that.

Please let me know what you think. I really value any and all feedback!

Not at all a nitpick, it is one of the things that is painful in the app IMO. I think the length of time for some of the operations is one of the bigger reasons for people to bounce after initial sign up. I need to think if there are some clever ways to improve the onboarding experience such as trying to pre-generate some recipes during/after the onboarding flow.

Yeah that tracks. I'm currently only hosting out of us-central1 in GCP. Haven't got around to setting up multi-region or a proper CDN yet.

You can specify this in "Preferences & Requests" in the meal planning wizard or "customize with instructions" on an existing meal plan recipe.

You're right that Meals You Love integrates with Instacart and Kroger for ordering meal plan groceries but it's not primarily a grocery funnel and this has no impact on meal plan construction. Really these are just value-add integrations IMO. For our family, the real value is actually providing a means for us to save our favorite recipes and get AI-recommended recipes peppered in. The grocery ordering is secondary, though quite useful for us.

The second big value prop for us has actually been the new "Quick Bites" feature which generates recipes based on ingredients you have on hand (either tracked in your pantry in the app or simply input manually). For instance, we'll often have some ingredients we want to use up but need suggestions on what to make. In this case, there's no grocery integration at all since we're using entirely stuff we already have.

Good question on the meal calendar. You CAN share meal plans (as well as recipes), though there isn't a calendar as such beyond the weekly meal plan view.

Preferences are primarily handled via the AI (uses Gemini on the backend) and this is the primary driver in how recipes are constructed and recommended.

Ah, I hear you on the onboarding wizard. I did my best to keep it streamlined but understand it's still overwhelming. Hard to balance keeping it light with collecting enough data to provide reasonable recommendations.

The meal plan generation does take a bit, _typically_ it's around 90ish seconds but it does vary a lot. That's odd the images are loading slowly, I'll need to look into that.

You can ask for meal replacements (with or without input instructions) from the meal plan view. The replacements are not particularly snappy though. Trying to balance efficient usage of AI with a snappy UX is tricky.