like AI for research rn ~=
the infra (AX/design) you use to keep track of state over long runs, compute u throw in at each stage (extreme: cc workflow for reflection), and resources you have access to in agent-native form factor (papers).
objective setting
agent harness
would wager the specific novel thing about the system (bc its the simplest place where there's ludicrous amounts of alpha) is
exposing to arxiv/semantic scholar properly done with a great CLI/python library
and some gepa-like outer loop. maybe with single item minibatch, and a cracked reflective stage that has access to the literature.
viola! gains
(caveat: i'm pulling this outta my ass lmao idk how they do it)