I Built CouponLab with AI Help. The Coupon Codes Still Have to Survive Checkout.
There’s a very specific kind of optimism involved in copying a coupon code. You see “20% off.” You picture the cheaper total. You paste the code. “Coupon cannot be applied to this order.” Apparently, the optimism was the free part. That gap between finding a discount and actually being able to use it is why I’m building CouponLab . The approach is straightforward: I use AI to help discover…
The story behind building CouponLab revolves around the frustration of finding a discount but being unable to apply it at checkout. The author wants to help users discover offers and understand the conditions that might affect their eligibility. The approach involves using AI to help discover offers, while the author personally verifies the coupon codes.
The problem is not simple, as a valid code may still be useless for a particular purchase due to various restrictions. The author uses AI to find offers and then checks them themselves, being careful to communicate the conditions alongside the results to avoid false reassurance. The design challenge is to present enough information about the offer to understand the discount, required purchase, exclusions, and customer limitations without overwhelming the user.
The author is seeking feedback on what helps people decide whether to try a coupon and what makes them feel it's worth trying, emphasizing the importance of trust and clear communication.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
