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+# Demo Use Cases
+
+These are the workflows GeoIntel must be built around. Codex should prioritize these over generic feature expansion.
+
+## Demo 1 — Building Detection + GRB QA
+
+### Purpose
+Show the exact portfolio fit for GeoAI engineering: raster input, computer vision, georeferenced detections, reference-data comparison, QA metrics and GIS export.
+
+### Area
+Default: Geel or another Kempen area with mixed buildings and roads.
+
+### Input
+- Georeferenced aerial image or GeoTIFF.
+- Reference building layer from GRB or local fixture.
+
+### Pipeline
+1. Create project.
+2. Define area.
+3. Import raster.
+4. Fetch/cache GRB building reference layer.
+5. Tile raster.
+6. Run YOLO/object-detection provider.
+7. Convert detections back to geospatial polygons or boxes.
+8. Store detections in PostGIS.
+9. Run QA/QC against GRB building footprints.
+10. Show results on map.
+11. Export detections and QA report.
+
+### Required outputs
+- Detection layer.
+- GRB reference layer.
+- Matched features layer.
+- False positives layer.
+- False negatives layer.
+- Precision/recall/F1/IoU dashboard.
+- GeoJSON export.
+
+### Portfolio message
+“I built a GeoAI pipeline that detects buildings on imagery and validates the results against official Flemish reference geometry.”
+
+## Demo 2 — Vegetation Segmentation
+
+### Purpose
+Show segmentation and raster/vector conversion.
+
+### Input
+- Raster image or Sentinel-derived raster later.
+- Optional area polygon.
+
+### Pipeline
+1. Import raster.
+2. Run segmentation provider or thresholded index workflow.
+3. Produce mask.
+4. Polygonize mask.
+5. Calculate area and coverage percentage.
+6. Visualize mask and polygons.
+7. Export GeoJSON/mask.
+
+### Required outputs
+- Segmentation mask.
+- Polygonized vegetation layer.
+- Area statistics.
+- Export package.
+
+## Demo 3 — Vector Change Detection
+
+### Purpose
+Show geospatial comparison before full remote-sensing change detection is implemented.
+
+### Input
+- Two reference/detection vector layers for different dates or runs.
+
+### Pipeline
+1. Select baseline layer.
+2. Select comparison layer.
+3. Normalize CRS.
+4. Match overlapping objects.
+5. Identify added/removed/changed geometries.
+6. Calculate area deltas.
+7. Show change layer.
+
+### Required outputs
+- Added features.
+- Removed features.
+- Changed features.
+- Change statistics.
+- GeoJSON export.
+
+## Demo 4 — Raster Indices Preview
+
+### Purpose
+Prepare the Sentinel/remote-sensing part.
+
+### Input
+- Multiband raster with suitable bands.
+
+### Pipeline
+1. Select bands.
+2. Calculate NDVI/NDWI/NDBI where bands exist.
+3. Render preview.
+4. Calculate min/max/mean/histogram.
+5. Extract thresholded areas later.
+
+### Required outputs
+- Index raster artifact.
+- Histogram/statistics.
+- Preview overlay.
+
+## Demo priority
+Build in this order:
+1. Demo 1 first.
+2. Demo 3 second.
+3. Demo 2 third.
+4. Demo 4 fourth.
+
+Demo 1 is the main recruiter-facing workflow.