It gets better without being told
Most AI assistants behave the same way on day 100 as day 1. Cogitator watches how you react, notices when something didn't land, and adjusts. You don't fill out a preferences form. The agent figures it out.
Most AI assistants behave the same way on day 100 as day 1. Cogitator watches how you react, notices when something didn't land, and adjusts. You don't fill out a preferences form. The agent figures it out.
You correct your AI once, it apologizes. You correct it again next week for the same thing. There's no learning loop. The agent has no memory of what worked and what didn't.
After every few messages, the agent checks: did you redirect it? Correct something? Seem frustrated? These observations get stored as evidence. Not judgments, just notes on what happened.
Individual observations accumulate. If you've redirected the agent away from formal language five times, that becomes a behavioral rule: "use casual tone." One correction is a data point. Five corrections are a pattern.
Periodically, the agent reviews all accumulated evidence and updates its working profile. Old rules that no longer fit get retired. New patterns get promoted. The result is a living document that evolves as you do.
The agent learns without interrupting you. No pop-ups asking "Was this helpful?" No thumbs-up buttons. It reads the room and takes notes quietly.
When old and new preferences contradict each other, the agent doesn't freeze. Recency and evidence volume decide. If you liked formal emails last year but switched to casual this month, the recent pattern wins.
Quick reactions happen in-conversation. If you correct the agent mid-chat, it adjusts immediately. Deeper review happens periodically, synthesizing weeks of observations into stable preferences.
Every behavioral rule links back to the observations that created it. Nothing is arbitrary. You can review the evidence trail and understand why the agent behaves the way it does.