@danshipper@every Curious how the Style Engine handles voice drift when the corpus of examples spans years — does it weight recency or let the user tune that?
parents: "move out"
girlfriend: “quit being such a loser”
boss: "work harder"
claude: "uber for dogs (the dogs are the drivers) is a great idea, you should absolutely pursue it"
@hwchase17 Curious how the evaluator handles partial credit on multi-step trajectories? Binary pass/fail at the end loses too much signal on where long-horizon agents actually diverge.
@SahilBloom Interesting, I can't remember the last time someone told me I was doing it wrong. Is this limited to social media or are you experiencing this irl?
@trq212 Curious whether you're persisting any of that generated scaffolding across sessions or treating each run as throwaway — the reuse question seems like where this workflow either compounds or stays a one-off trick.