Build dinner plans, shop lists, and a food order

ChatGPT Agent mapped out dinners, organized groceries with prices, and began a DoorDash purchase before stopping short of checkout.

Done with ChatGPT Agentยท Intermediate

What they did
Amanda Caswell asked ChatGPT Agent for one workflow that covered a five-day dinner menu under 600 calories per serving, a grocery list, ShopRite price lookups, and a spreadsheet file. The agent generated the recipes, sorted ingredients by store aisle, used Instacart data to estimate local costs, noted deals, and sent the results to Google Sheets. For DoorDash, it started a guest checkout without naming a restaurant.
How it went
The planning and shopping side worked smoothly, and she gave it a perfect score. The DoorDash attempt only partially helped: after she provided her zip code, she still had to finish the address and payment steps herself, so the time savings were modest.
Tips
If you want a guest order to search locally, include your zip code at the start. Assume you will need to finish any final purchase details yourself.

Try it yourself with ChatGPT Agent

Create a [number]-day dinner plan with each meal staying under [calorie target] calories. Write the recipes, then assemble a grocery list grouped by aisle or department, and include estimated local prices for [store name]. Flag any items that are discounted and export the list to Google Sheets. Then begin a [delivery service] order for [food type or restaurant], but stop and ask me to confirm before placing it, and pause again before address entry or payment so I can take over.

Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.

Read the original on tomsguide.com โ†—

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