Review shopping recommendations on Convex All Gas One

I’ll inspect the public site and any available shopping example, then compare the recommendations on the page. I won’t send messages, create watches, or purchase anything.

The public example uses one request—black Adidas Sambas, size 10, under $100—and shows a “2 options found” picker before activating a watch. I’m checking the picker state itself so the comparison is based on the displayed recommendations, not just the landing-page summary.

## Review result I reviewed the public Sathi landing page at https://convex-all-gas-one.vercel.app/ and inspected its embedded shopping example without sending messages, creating a watch, or purchasing anything. ### Shopping example The example asks: > “Find black Adidas Sambas in size 10 under $100.” The page claims: - **2 options found** - **Picker ready** - Selected item: **“Samba OG · size 10”** - Target price: **$100** - Current price: **$98** ### Recommendation comparison A product-to-product comparison was **not possible** from the public experience. The page shows only the count of two options and says the product picker is private. It does not expose either recommendation’s: - Product name or model - Retailer - Product URL - Individual price - Color confirmation - Size availability - Stock status The selected-item card is therefore insufficient to verify that the product actually satisfies every request constraint. The animated iMessage example also shows a different illustrative price state—**$95**, with an alert at **$90 or less**—rather than the summary card’s **$125 → $98** display. These appear to be demo states, not independently verified live listings. ### Assessment - **Shopping example available:** Passed - **Two recommendations can be compared:** Failed; the individual options are not publicly exposed - **Selected product verified against all constraints:** Untested - **No message or purchase made:** Passed The site communicates the intended discovery-and-alert workflow, but the public demo does not provide enough recommendation detail to perform the requested comparison.