@DeRonin_: Do you understand what Adaline just shipped??? the agent watches what goes wrong with real users.. groups the failures …

Do you understand what Adaline just shipped??? the agent watches what goes wrong with real users.. groups the failures by pattern.. and writes hundreds of its own tests every day to catch them [ the real problem nobody’s talking about ]: your agent has thousands of real conversations every day you read maybe 12 of them this month every mistake, every weird answer, every time it slowly gets worse.. all sitting in a pile nobody opens everyone wanted smarter models. nobody had time to actually read what the agents were doing [ how it actually works ]: > reads every message, tool call, skill, hook, plugin > clusters traces into actual agent behaviors > generates synthetic adversarial cases no team would think to test > writes hundreds of fresh evals daily from your real production traffic > builds candidate agents and ships them to YOU for approval evals were the layer everyone routed around [ what i didn’t expect ]: nothing goes live on its own the agent builds new versions of itself.. and you approve each one before users see it it gets better automatically, but you’re always in control [ what really hit me ]: “the model isn’t slowing things down anymore. you are” that’s exactly me i haven’t looked at my agent’s data in 8 months. this is the first thing that finally fixes that

Arsh Shah Dilbagi (@arshdilbagi): 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!