Jev x Opus 5.5 workflow for screening signals and testing explanations
A data pipeline finds candidate signals, Jev picks which to investigate against defined criteria, Opus proposes explanations, and statistical checks plus human review test whether they hold, with the question of what evidence would change our mind built into the workflow.
A beautiful pattern can still be noise. Here’s a JEV × Opus 5.5 workflow I’d test: → A data pipeline identifies candidate signals. → JEV selects which candidates to investigate using defined criteria. → Opus helps explore those candidates and propose explanations. → Statistical checks and human review test whether those explanations hold up. The critical question: what evidence would change our mind? That question belongs inside the workflow, before a promising pattern becomes a confident conclusion. This animation illustrates the concept. The particles and activity are simulated.
This post quotes another post: x.com/dain0x/status/2102363438370480337