交互原型 · T3
直播评论标注原型
粘贴直播评论，由 Jev Choice 建议标签，帮助运营筛选、排序并处理重要对话。
标签
| 键 | 含义 | 示例 |
|---|---|---|
| buy_intent | 购买意向 / 库存 / 运达（购前或购中） | “In stock? Can you ship to the US?” |
| price_question | 询问价格、折扣或交易条件 | “How much for two?” |
| after_sales | 购后支持 | “Package arrived damaged.” |
| spam | 机器人、广告、诈骗、骚扰、噪音 | “DM me for free followers!!!!” |
| other | 残留 / 不清 | “lol fire stream” |
粘贴演示路径
- 运营将一条或多条评论粘贴进应用（分批 evaluate 或结构化 state）。
- 本站示例经 AI Gateway，用下方 Choice 问题调用 typesafe-ai/jev。
- UI 展示建议标签 + 概率；低置信留在人工队列。
- 运营在自己的工具里打标 — Jev 从不移动金钱。
问题定义
{
label: {
type: 'choice',
instructions: 'Label this livestream comment for the host team.',
criteria: {
buy_intent: 'Purchase intent, stock availability, or shipping destination questions tied to buying',
price_question: 'Asking about price, discounts, bundles, or deal terms',
after_sales: 'Post-purchase support, returns, defects, delivery problems after buying',
spam: 'Bots, ads, scams, harassment, or irrelevant promotional noise',
other: 'Does not fit the above',
},
},
}输出示例
粘贴的评论
1. In stock? Can you ship to the US?
2. How much for two hoodies?
3. DM for crypto signals!!!
4. Item arrived torn, need exchange
建议标签
1. buy_intent (high → auto-suggest)
2. price_question (high → auto-suggest)
3. spam (high → auto-suggest)
4. after_sales (high → auto-suggest)
Low confidence → human queue
Action: present suggestions; human confirms.
置信策略（仅示例）
- 高置信 — 高置信 — 在 UI 自动建议标签（仍无金融副作用）。
- 低置信 — 低置信 — 不标注 / 送入人工队列。
上线前请使用自己直播间的已标注评论校准这些区间。