When my single-cell study plan failed, I asked #ScienceBuddy to revise the steps using my same task context. PhAI Labs built an execution record that actually lists the UniProt queries. #ScienceBuddy works well, and the AIforScience community needs more open traces.
They claim Sai uses ninety percent fewer tokens by compiling routines into code after the first run. Sounds clean on paper, but web apps update interfaces constantly. If the fallback fires every third day, that token saving disappears pretty fast on your #SaiFleet work.
Recently, I've been noticing how often my dreams take place in locations from childhood. Adding them as recurring settings within #Dreamnastics; might reveal something interesting.