Sustainable-Solutions-Lab

Run, refresh, or diagnose the model's calibration pipeline (feed -> food_waste -> food_demand -> cost -> stability) that produces the per-config artefact sets under `data/curated/calibration/<source>/` (the `default` and `gbd-anchored` sets are git-tracked). Covers the dependency order, the `tools/calibrate` wrapper, realistic runtime expectations, when each kind of upstream change forces a re-run, and how to diagnose the most common failure mode: a hidden supply/demand mismatch that inflates the production-stability L1 cost. Use whenever calibration is relevant -- the user touches inputs/build logic that feed the calibration solves, calibration artefacts look off, or a refresh of the artefacts is needed after a model/data change.