a16z：长时程智能体接管数周乃至数月的完整业务流程
a16z 的 David Haber 写了篇长文，讲智能体怎么从干几分钟的小活，进化到跟几周的人身伤害案子全程跟进，还提了按结果收费的新商业模式。
a16z 的 David Haber 撰文指出，AI 智能体此前多处理单次支持电话或单封邮件等短任务，现在已能持续工作数周到数月。以人身伤害案件为例，单个 case agent 可以从首次通话跟进到和解，负责追查证人、记录和账单，并同步更新客户与律师。文章认为同样的模式适用于抵押贷款、保险理赔和企业销售等长链条流程。由于智能体对最终结果负责，服务商可以按结果（结清的贷款、和解的案件、签下的合同）收费，取代按节省的工时计价。
Until recently, AI agents mostly handled short tasks, like one support call or one email. Now they can stay on a job for weeks or months. That matters for "relay race" work that runs through a long chain of people. Every handoff in that chain is a chance for something to fall through: a slow callback, a dropped follow-up, lost context. Take a personal injury case. Today it moves from intake to investigation to the demand letter, with different people at each step. A single case agent can work it from the first call to settlement, chasing witnesses, records, and bills, and keeping the client and attorney updated along the way. The same idea applies to processes like mortgages, insurance claims, and enterprise sales. Because the agent owns the end result, the company selling it can charge on the outcome (a closed loan, a settled case, a signed deal) and move past pricing on the labor it saves (paralegal hours, call center seats). Full piece from a16z's @dhaber on long-running agents in high-value customer journeys: a16z.news/p/winning-the-… David Haber @dhaber x.com/i/article/2110… 🔗 View Quoted Tweet 💬 18 🔄 1 ❤️ 40 👀 9050 📊 15 ⚡
