它解决了 AI 生成电商图片中数据真实性的关键难题：让大模型只负责理解、结构化和翻译，而由确定性引擎渲染出精确文字、数字和真实素材，使得结果可审计、可复现、可编辑。
LLM-orchestrated e-commerce detail-page (详情页) generator 用通用大模型，一键生成电商商品长图详情页
Selling a real product, end to end. Pagewright read the live North Face
1996 Retro Nuptse Jacket
page — which is Akamai bot-protected, so curl is blocked and it's fetched through a real
browser (tier-3) — pulled the real price, 700-fill down spec, six colorways, sizes and the
official benefit ratings + description, then rendered this bilingual 详情页.
Pagewright 读取了 North Face《1996 Retro Nuptse》线上商品页（站点有 Akamai 反爬，
curl被挡 → 经真实浏览器（tier-3）抓取），取到真实价格、700 蓬松鹅绒、6 配色、尺码与官方性能标签及文案， 渲染出这张中英对照详情页。
Real copy, specs & pricing shown above; the product photos are heavily mosaicked here to
avoid redistributing © The North Face imagery — at run time Pagewright fetches the real photos.
Reproduce from examples/north_face_nuptse (add photos per its
ASSETS.md). Other bundled example: examples/sa_infinity.
图中文案与数据均为真实信息；产品图已打码处理以规避版权（版权归 The North Face），实拍图在运行时抓取。
Give Pagewright a product URL or your own images + a description, and it produces a polished, optionally bilingual long-image — the kind of detail page you upload to Taobao / Tmall / Amazon / Shopify — rendered pixel-accurately from real assets, not AI-painted.
acquire ─▶ extract ─▶ enrich ─▶ compose ─▶ render ─▶ verify
(URL) (LLM) (optional) (HTML) (PNG) (LLM QA)
An e-commerce detail page lives or dies on data fidelity — the price, the spec numbers, the brand logo and the size chart have to be exactly right. Today's text-to-image / 文生图 models (Stable Diffusion, DALL·E, Midjourney, Flux, Nano-Banana…) are the wrong tool for that job:
$159 turns into $IS9,
Chinese characters melt into glyph soup. You can't ship a price you can't trust.LLM-orchestrated e-commerce detail-page generator · 电商出海商品介绍详情页生成
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