Rohan Paul· @rohanpaul_ai · X·· 2026-06-14AI 评分65
AI 导读
Adaline 2.0 推出 AI 智能体自我改进层,将生产流量和用户反馈痕迹自动转化为行为聚类,进而生成评估(Evals)、合成边缘场景数据,并基于此产出新的智能体候选版本。开发者只需审核胜出版本即可上线。该工具无需人工逐条检查异常对话,可自动发现人类难以想到的评估用例。
正文 · 原文
Adaline just launched a self-improvement layer for AI agents that turns messy production traces into fresh evals, synthetic edge cases, and better agent candidates for humans to approve.
I expected it to be a regular trace viewer, but it is reading my production traffic and building evals I would never have considered.
It reads production traffic and user feedback, then clusters the mess into recognizable agent behaviours rather than asking a human to manually inspect every strange conversation.
Introducing Adaline 2.0 - The Agent Self-Improvement Layer Adaline turns Traces into Behaviors, Behaviors surface Issues, Issues become auto-generated Evals + Data, Adaline then generates new agent candidates and tests them. You review the winners and ship!在 X 查看被引用的帖子
来源:Rohan Paul · x.com