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.
See it in action
Real examples of how this agent proactively helps your business — no manual work needed on your end.
Company
A new user saying hello
Situation
First message to the meal planner
What the agent does
- 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
Company
A family with a young child who has a peanut allergy
Situation
Setting up for the first time, allergy mentioned in passing
What the agent does
- 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
Company
A busy weeknight cook
Situation
5pm, asks "what should I cook tonight?"
What the agent does
- 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
Company
A two-person household trying to spend less on groceries
Situation
Wants a meal plan for the next 5 weeknights plus a shopping list
What the agent does
- 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
Company
A YouTube-recipe fan
Situation
Can you adapt that Maangchi tteokbokki recipe but milder for the kids?
What the agent does
- 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)
Company
A household that wants meal suggestions on a schedule
Situation
Suggest dinner every weekday at 4pm so I can shop on the way home
What the agent does
- 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
Up and running in minutes
You answer a few quick questions about your business. We handle everything else. Your agent goes live on its own private server in about 3 minutes.
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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…”
Want this agent live in your business?
Deploy this agent in minutes. First month just $9.50 (50% off), then $19/mo.
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