Let an agent choose and order healthy meals
A developer had an agent pick and buy the healthiest meal options twice a day for two weeks.
- What they did
- Flo Crivello set up a custom agent with a simple rule: choose the healthiest option and place the order. After that, the agent handled meal decisions and ordering twice a day on its own.
- How it went
- The agent made every meal decision over a two-week stretch. Flo said they disliked how it worked out.
- Tips
- If you try this, define what “healthy” means in advance and put a clear spending limit in the instructions. Make the agent stop for approval before it pays for anything.
Try it yourself with Operator
Check [delivery app or restaurant site] for lunch and dinner options that deliver to [address]. Pick the healthiest meals that fit [dietary goals] and stay under [budget] per order. Put the chosen meal in the cart and show me the delivery time and full total. Stop there and wait for my approval before you pay or place the order.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
Get 3 agent uses like this every morning
With the day's top AI news. Free, and one click to unsubscribe.
Related agent uses
Turn receipts into a pantry tracker and shopping list
They used a custom agent setup to read receipts, estimate kitchen stock, compare local grocery options, and suggest recipes.
Use Signal to assemble a shared grocery cart
A self-hosted Signal agent turned past orders into a group-editable grocery list and then filled the store cart, leaving checkout to a person.
Check Shopify catalogs for daily product and stock updates
A custom agent watched Shopify product feeds each day and compared snapshots to find catalog, pricing, and inventory changes.
Use image scans to spot thrift-store flips
An agent examined thrift-store images, matched items to online listings, and pointed out buys that looked cheap enough to resell.
Have an agent compare shirts and order one
An agent compared shirt options across six brands, chose a size, found the closest store, and completed the purchase.
Set up an online shop and test the full checkout
They built a retail site with AI, added checkout, and verified the payment flow before turning it into a live store.