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The showcase now documents the executable DAG for every profile, with Scientific Workflows first and native Montage 050 first. Each of the 28 pages provides prerequisites and copyable clone, pinned checkout, preparation and local execution commands.
DAGs use authoritative dependencies instead of inferring edges from visual stages. MLflow documents its independent final registration/logging fork. All 27 small examples have completed local and daemon execution records, 171 individual activity screenshots and observed DAG screenshots. Images and DAGs expand for full inspection, with original-resolution image access. Teaching profiles explicitly describe their real computation and limitations.
The full native Montage 050 preserves 58 commands, 114 control dependencies and 138 file handoffs. Its page records the pinned image/contract validation and an actual local daemon run observed running; it does not claim final FITS/PNG completion.
Validation: TypeScript, production build, 485 local route/asset links, 16 source downloads and 145 shell blocks passed. Checked desktop/mobile layout, the native 58-node/114-edge diagram and full-image expansion. CI checks the pinned examples revision and covers all 28 profiles, with full runs for the 27 small examples and explicit native image/contract validation.
Companion examples: UFFeScience/akoflow-examples#25
Refs #186