Unify scientific compute, results, and artifact workflows - #275
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Summary
docs/notes/claude-science-ui-behavior-audit.mdLive comparison
Ran the exact prompt:
start up multiple analysis jobs for the titanic dataset across 4 kernelsThe rebuilt app started exactly four named managed kernels concurrently, kept code and output visible, displayed four figures, recovered from an unavailable sklearn dependency, saved eight titled/versioned artifacts plus a consolidated report, and stopped all four kernels. Compute returned to zero while retaining recent local completion rows; Files contains the report, tables, and figures.
Verification
bun run buildNo paid Modal job was dispatched. Modal/GPU rendering, logs, resources, cancellation, artifact delivery, and cleanup states are covered with the real compute-job API types and component tests.