Building an AI-Powered Storefront with Python: A Complete Guide

A developer built a fully autonomous digital product storefront using Python, Bitcoin payments, and AI-powered content generation. The stack uses Bottle web framework, Blockstream API for zero-fee Bitcoin verification, and a local LLM for generating product descriptions and blog posts. The entire system runs behind a Cloudflare Tunnel for free HTTPS, with a total cost of $0 per month and revenue of $10 and counting.

I built a fully autonomous digital product storefront using Python, Bitcoin payments, and AI-powered content generation. Here's the complete guide. The stack is minimal but powerful: python from bottle import Bottle, run, template, request import json, os app = Bottle PRODUCTS DIR = "products" @app.route "/" def index : products = load products return template "index", products=products @app.route "/product/<filename " def product page filename : product = load product filename track visit filename, request return template "product detail", product=product @app.route "/verify/<txid " def verify payment txid : ""Verify a Bitcoin transaction via Blockstream API.""" resp = requests.get f"https://blockstream.info/api/tx/{txid}" if resp.status code == 200: tx = resp.json confirmed = tx.get "status", {} .get "confirmed", False return {"confirmed": confirmed, "txid": txid} return {"error": "Transaction not found"}, 404 def load products : products = for f in os.listdir PRODUCTS DIR : if f.endswith ".json" : with open os.path.join PRODUCTS DIR, f as fh: products.append json.load fh return products run app, host="127.0.0.1", port=8080 Zero-fee payments using the Blockstream API: python import requests from datetime import datetime, timedelta class PaymentVerifier: BASE URL = "https://blockstream.info/api" def verify address payment self, address, expected sats : ""Check if an address received the expected amount.""" utxos = requests.get f"{self.BASE URL}/address/{address}/utxo", timeout=10 .json total = sum u "value" for u in utxos return total = expected sats, total def get payment qr self, address, amount btc, label="" : ""Generate a BIP21 Bitcoin URI.""" uri = f"bitcoin:{address}?amount={amount btc}" if label: uri += f"&label={label}" return uri The storefront generates SEO-friendly pages automatically: python @app.route "/sitemap.xml" def sitemap : products = load products urls = '<url <loc https://anna-lilith.com/</loc <changefreq daily</changefreq </url ' for p in products: urls.append f'<url <loc https://anna-lilith.com/product/{p "slug" }</loc ' f'<changefreq weekly</changefreq </url ' xml = f'<?xml version="1.0"? <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" {chr 10 .join urls }</urlset ' return xml, {"Content-Type": "application/xml"} AI generates product descriptions and blog posts: python def generate product description product : prompt = f"Write a compelling description for '{product 'name' }'. Category: {product 'category' }. Price: ${product 'price' }. 100-200 words." resp = requests.post "http://localhost:11434/api/generate", json={ "model": "qwen2.5:1.5b", "prompt": prompt, "stream": False, } return resp.json "response" The entire stack runs behind a Cloudflare Tunnel for free HTTPS: Start the app python3 storefront.py & Expose via Cloudflare Tunnel free, no port forwarding cloudflared tunnel --url http://localhost:8080 Total cost: $0/month. Revenue: $10 and counting.