Add AI lab run readiness panels

docs/CODEX_EXECUTION_LOG.md

@@ -3722,3 +3722,28 @@ Limitations:
 
 Next recommended pass:
 - After live validation, continue with the next V1 usability gap from the workbench flow rather than adding new model/provider scope.
+
+## Sprint 103 AI Lab run readiness (2026-06-24)
+
+Changed:
+- Added compact run-readiness panels to Detection Lab and Segmentation Lab.
+- Detection readiness now checks selected raster dataset, selected model availability and the configured-YOLO tile manifest requirement before a run is submitted.
+- Segmentation readiness now checks selected raster dataset, configured segmentation model state and whether a tile manifest is present for provenance.
+- Added shared AI Lab readiness styling and regression coverage in `backend/tests/test_sprint103_ai_lab_run_readiness.py`.
+- Updated `CHANGELOG.md` and `docs/TODO.md`.
+
+Tested:
+- Red step: `python -m pytest backend\tests\test_sprint103_ai_lab_run_readiness.py -q` failed while the readiness panels and CSS contracts were absent.
+- `python -m pytest backend\tests\test_sprint103_ai_lab_run_readiness.py -q` (`3 passed`)
+- `python -m compileall backend/app`
+- `cd frontend && npm run typecheck`
+- `cd frontend && npm run build`
+
+Open:
+- Full repository validation, commit, deploy and live browser verification are still pending for this pass.
+
+Limitations:
+- Frontend readiness guidance only; no backend API, persistence, migration, provider fetching, AI dependency or model execution behavior changed.
+
+Next recommended pass:
+- After deploy validation, continue with V1 usability work that reduces operator confusion without expanding frozen product scope.