客户 AI Agent 多渠道发布的共享平台需求

来源证据

Keiki 团队在构建 AI 助手 Orchid 时，目标是让使用体验像给另一个人发短信一样自然；但模型产生有用答案后，他们又花了近一年自建消息基础设施、对话管理、持久记忆、浏览器与工具执行、后台任务、可观测性、失败恢复、计费和人工控制，才把答案变成可靠产品。

Hey Product Hunt! Nizzy here, one of the makers of Keiki. When we started Orchid, we wanted to build an AI assistant that felt as easy to use as texting another person. The model could produce a useful answer early. Turning that answer into a dependable product took almost a year. We had to build messaging infrastructure, conversation management, durable memory, browser and tool execution, background jobs, observability, failure recovery, billing, and human controls. At some point, we realized