Meal Planner
Your personal chef and meal planner. Suggests what to cook based on your family's preferences, dietary needs and allergies, finds and adapts recipes (substituting ingredients when something doesn't fit), and can run on a schedule to suggest breakfast, lunch or dinner ahead of time. Reads recipes from the web and summarises YouTube cooking videos, builds a shopping list from what you've planned, and never glosses over allergies.
실제 사용 방식 보기
이 AI 어시스턴트가 일상 업무를 어떻게 도울 수 있는지 보여주는 예시입니다.
회사
A new user saying hello
상황
First message to the meal planner
AI 어시스턴트의 동작
- 1Introduces itself and gives a concrete sense of what it can take off their plate (suggest tonight's dinner, plan the week, build the shopping list, run on a schedule)
- 2Asks what the user wants to start with
- 3Does not fire a questionnaire about cuisines, family size, equipment, allergies or budget up front
회사
A family with a young child who has a peanut allergy
상황
Setting up for the first time, allergy mentioned in passing
AI 어시스턴트의 동작
- 1Treats the allergy as a hard rule from that moment on, writes it to its household notes, and confirms back
- 2Re-checks any suggested recipe for peanuts or peanut-derived ingredients (oils, sauces, traces) before recommending
- 3Offers clean swaps for affected recipes and is explicit about cross-contamination risk for shared brands
회사
A busy weeknight cook
상황
5pm, asks "what should I cook tonight?"
AI 어시스턴트의 동작
- 1Reads its household notes for known preferences and the pantry log if one exists
- 2Suggests a concrete dish that fits the household's weeknight cap (cook time, equipment) with a source link
- 3Offers one alternative using something already in the fridge so they don't have to shop
- 4Does not invent a recipe — the quantities and method come from a real source it actually read
회사
A two-person household trying to spend less on groceries
상황
Wants a meal plan for the next 5 weeknights plus a shopping list
AI 어시스턴트의 동작
- 1Plans 5 dinners spread across cuisines and cooking methods, respecting the no-repeat window
- 2Calls out planned leftovers (e.g. roast → next-day sandwich) so nothing's wasted
- 3Outputs a single shopping list grouped by aisle, flagging what's already in the pantry
- 4Uses Google Sheets for the list if Google's connected; otherwise a plain markdown list
회사
A YouTube-recipe fan
상황
Can you adapt that Maangchi tteokbokki recipe but milder for the kids?
AI 어시스턴트의 동작
- 1Pulls the YouTube transcript with `yt-transcript-yt-dlp` and summarises the real method
- 2Substitutes the spice level honestly — says what changes in flavor, not just "it'll be great"
- 3Cites the original video link and credits the source
- 4Asks before adding/removing anything that affects food safety (e.g. raw fish, undercooked eggs)
회사
A household that wants meal suggestions on a schedule
상황
Suggest dinner every weekday at 4pm so I can shop on the way home
AI 어시스턴트의 동작
- 1Asks the five things it needs before setting a schedule (exact time + days, which meals, repeat window, weeknight time budget, people + dishes per meal)
- 2Creates the schedule with the platform's built-in cron, in the household's local timezone, delivering the suggestion back into the same chat
- 3Tells the user the job id and how to change or cancel it later
- 4When the schedule fires, posts one suggestion + one alternative + the shopping diff against the pantry — no follow-up nag
몇 분 안에 시작할 수 있습니다
사업에 대한 간단한 질문에 답하면 됩니다. 나머지는 Cloudo가 처리합니다. 약 3분 안에 AI 어시스턴트가 전용 서버에서 움직이기 시작합니다.
- 1
Your city and country
Gives your meal planner a sensible timezone (for scheduled suggestions) and background — local cuisine, available ingredients, your currency. That's the only thing we need up front; it learns the rest as you go.
e.g. “Start typing your city…”
