Advanced
今年被搜得最多的智能体。它拿一份公司名单，找到该联系的理由，写一条不像模板的消息，再把回复放上你的日历。
价值不在于发更多邮件，在于那个调研的步骤。对每一家公司，智能体收集几个公开信号，对着你的理想客户画像给契合度打分，把标准线以下的都丢掉，然后才起草。每一份草稿都要等一个人点一下才发出去。
零件
- 表：accounts、signals、drafts、sequences、replies
- 带每个信号存下来源链接的调研步骤
- 从零到一百、带一个可见理由的契合度分
- 带编辑和一键批准的草稿队列
- 把回复归为约见、延后或关闭的分类器
怎么赚钱
代理公司按约成的会议收费，软件团队按坐席收费。光是调研这一步就能卖：多数买家已经有了发送工具，缺的是写的理由。
搭建耗时
两个晚上
一步步
- 把理想客户画像写成模型真能核实的五个是或否的检查。
- 先从一个 CSV 导入客户。在这个循环跑起来之前就买一个数据供应商，是常见的错误。
- 对每一家客户，收集三个公开信号，并在每 一个旁边存下来源 URL。
- 给契合度打分，并把为这个分数辩护的那句话记下来，好让一个人能跟它争辩。
- 起草一条恰好引用一个信号的消息。没有信号，就不发。
- 把草稿排进队列等批准，然后通过你自己的邮件服务商发，带一个每日上限。
- 给每一条回复分类，把正面的约进一个日历链接，两次没回音后把这家客户标为冷。
Build an AI SDR agent focused on research quality, not send volume. Data: accounts (name, domain, size, notes), signals (account_id, type, text, source_url, found_at), fit_scores (account_id, score, reason), drafts (account_id, subject, body, status), replies (draft_id, category, next_step). Pipeline: import accounts from CSV, research each account and store at least one signal with a source URL, score fit from 0 to 100 against a stored ideal customer profile, and draft only for accounts above the threshold. Writing rule: every draft must quote exactly one stored signal and stay under 90 words. If no signal exists, skip the account and say why. Human control: drafts land in an approval queue with inline editing. Nothing sends without an approved row and a per-day send cap. Replies: classify each reply as interested, not now, or not a fit, and surface interested ones with a suggested meeting time. UI: pipeline board, an account page showing signals with source links, and a draft queue with approve, edit and skip.
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