Compare coupon codes before you order
Use ChatGPT agent mode to search discounts and test codes so you can see which one gives the best checkout price.
- What they did
- A poster set up a two-part workflow with ChatGPT Work’s agent mode. They first provided the exact product page, the version they wanted, the amount to buy, and the shipping destination so the agent could hunt for public promo codes, current markdowns, free-shipping thresholds, loyalty deals, rebates, cashback, rival listings, and price-match rules. If the browser could be used, they then had it add the item to the cart, run through each likely code separately, note the discount and end total, empty the cart between tries, and stop whenever a login, CAPTCHA, or other protected step appeared.
- How it went
- The main benefit was quicker coupon testing and a clear comparison of which codes succeeded, failed, or gave the lowest total. No exact savings figure was reported, and some sites blocked automation or needed the user to take over.
- Tips
- Feed it the exact product page and cart setup, and tell it not to place the order. Be ready to handle sign-in, CAPTCHA, payment, or submission yourself.
Try it yourself with ChatGPT Agent
I’m planning to buy [product] from [store]. Search for public discount codes and any other ways to reduce the price, such as sales, free-shipping thresholds, loyalty perks, rebates, cashback, competing stores, and price-match offers. If browser access is available, put the item in the cart, test one code at a time, record the savings and updated total, and clear the cart before each new attempt. Stop and ask me before any login, CAPTCHA, payment, order submission, or other irreversible action. Return a table with each code tested, whether it worked, and the final price.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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