Busa Shop
A one-install online shop for a small cross-border seller: product management built in (its own Products and Certificates tables, Excel or CSV import with pictures), a public storefront website with a real checkout (delivery address, shipping costs by country, payment with PayPal, or order requests when PayPal is off), order emails over SMTP, policy pages, a blog your agent drafts from your own facts (you publish), search and AI-assistant basics (sitemap, schema.org prices and shipping, llms.txt, Google Analytics and Search Console), an MCP server so AI assistants such as Claude and ChatGPT can search the catalog and hand buyers a link to the shop's own checkout (plus agents.md, a UCP profile and a Google Merchant Center feed), an Orders table that follows each order from payment to shipping, and a daily shop check your agent runs and improves from your feedback.
La navigation est publique. L'installation nécessite de se connecter et de choisir un espace de travail.
Commencez une conversation et poursuivez avec votre agent
- “Import this product list into my shop's Products (Excel with pictures, or CSV with photos and certificates). Show me the preview first.”
- “Open my shop: check the products it will list, the settings, shipping costs, policy pages, PayPal and order emails, and tell me what I still have to do before I click Go live.”
- “Set up PayPal for my shop: tell me what to create in PayPal, what goes into Settings and what I put into the Space Vault myself.”
- “Run today's shop check: read my feedback on the last report, then check products, certificates, orders and payments, and the live site, and write one report.”
- “Plan 3 blog posts that answer questions buyers in my shipping countries really ask, using only facts from my tables, then write the one I pick as a draft for me to publish.”
- “Let AI assistants sell for my shop: tell me my MCP address and how to add it to Claude or ChatGPT, then check that it finds my products and gives a working buy link.”
- “What do I need to ship today? List the paid orders with addresses, and draft replies for any new order requests.”
Commencez par une demande ci-dessous, puis continuez à donner des tâches, des retours et des ajustements à votre agent. Le modèle fournit le contexte et les instructions ; l’agent utilise l’espace de travail et vous examinez les résultats, les modifications et les progrès dans ses vues.