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My Agent Tried 6 Stores. 4 Failed at Checkout.
I didn’t read some fancy whitepaper about agentic commerce. I just told my new autonomous shopping agent to buy four specific items from six different retailers. Real products, real carts, real money on the line.
Four out of six failed before checkout even started.
This wasn’t some experimental research project. These were major retailers — names you’d recognize instantly. The kind of places that are probably in your boardroom presentations about “the future of commerce.” And right now, in the real world, most of them can’t handle a competent agent trying to give them money.
The Hallucination Problem Is Worse Than You Think
First store: agent confidently adds the wrong product to the cart. Not similar. Not a substitute. Completely different item. When I asked it why, it doubled down with some bullshit about “matching the description.” The description it apparently just made up.
Third store: it found the product, added it, then on the product page started looping between three different variants like it had digital dementia. Same page, refreshing, over and over. I watched it waste six minutes in an infinite loop before I killed the session.
These aren’t edge cases. This is what happens when you turn agents loose on today’s e-commerce infrastructure. The product data is inconsistent, the schemas are garbage, and half the sites are serving up dynamic content that changes depending on who (or what) is looking at it.
CAPTCHAs, Checkout Nightmares, and Silent Failures
The CAPTCHA failures were almost funny if they weren’t so predictable. One site threw up a “prove you’re human” challenge the moment the agent touched the cart. Another had some new fancy behavioral analysis that flagged the agent as suspicious immediately.
But the worst one was store number five. The agent got all the way through to payment, filled out every field correctly, then just… stopped. No error message. No feedback. It sat there for ten minutes before timing out. When I checked the actual site in my browser, the checkout page had some JavaScript error that only appeared under certain conditions.
The agent didn’t know how to tell me that. It just failed silently. That’s not an agent problem. That’s an infrastructure problem.
The two stores that actually worked? One was a platform that already has decent API access and structured data. The other was surprisingly old-school — clean HTML, consistent markup, predictable checkout flow. The agent cruised through it in under 90 seconds.
The Gap Between Announcements and Reality
Every conference right now has someone on stage talking about agentic commerce like it’s already solved. “Our AI agent will revolutionize shopping.” “Seamless autonomous transactions are here.”
Bullshit.
We’re in the “it works in the demo” phase, and the real world is eating these agents alive. The universal commerce protocol isn’t some nice-to-have feature for the future. It’s table stakes if you want to participate when agents actually start moving serious money around.
Right now most retailers are building moats that accidentally keep out the very automation everyone claims to want. Their product feeds are messy, their checkout flows are fragile, their anti-bot measures can’t tell the difference between a scraper and a legitimate purchasing agent.
The stores that get this right early are going to eat everyone’s lunch when agents become mainstream. The ones treating this like another marketing checkbox are going to watch their competitors get all the autonomous volume.
Will’s Take: The agentic commerce revolution isn’t being held back by AI capability. It’s being held back by decades of messy, human-only web design and half-assed data practices. Fix your structured data, simplify your checkout, and stop treating every non-browser interaction like a threat. The agents are coming whether you’re ready or not. Most of you aren’t even close.
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