What's For Dinner?
An AI meal-planning assistant that turns “what should I eat tonight?” into a decision in seconds.
Problem
Deciding what to eat is a small decision made every single day, and the cost is not the cooking — it is the deliberation. Recipe apps answer a search query; they do not remove the decision.
What I built
- 01
A constraint model covering preferences, ingredients on hand, dietary limits and time available.
- 02
Suggestions that commit to an answer instead of returning a list to browse.
- 03
Conversational refinement for the second-guessing that always follows the first suggestion.
- 04
Variety tracking, so the assistant does not quietly converge on the same four meals.
Product screenshots
How do you reduce decision fatigue around everyday food choices?
Product / AI decisions
Decision fatigue is a UX problem before it is a model problem. The product's job is to narrow, not to enumerate — so the default surface is one recommendation with a reason, and everything else is available only if asked for.
What I learned
Users trust a confident single answer more than a ranked list, provided the reasoning is one line long and easy to argue with.