diff --git a/infrastructure-monitoring.prose.md b/infrastructure-monitoring.prose.md
index c55f98e..6ceae98 100644
--- a/infrastructure-monitoring.prose.md
+++ b/infrastructure-monitoring.prose.md
@@ -139,6 +139,79 @@ GPU .8 (RTX 3090)    GPU .110 (RTX 5070)   GPU .15 (Strix Halo)
 4. Verify LiteLLM metrics flowing to Prometheus
 5. ~~Update nginx to proxy `/monitoring/` → Grafana~~ (NOT recommended — nginx sub-path was tried for /grafana/ and reverted per proxmox-monitor; direct :3001 access is the standard)
 
+## Execution
+
+### check-health
+
+**RUN LIVE, NEVER ECHO — every dispatch must execute the probes below with real tool calls; never repeat a prior report unless a live probe fails.**
+
+```bash
+# Zulip API health (POST ping)
+curl -s -o /dev/null -w '%{http_code}' -X POST https://chat.sysloggh.net/api/v1/messages -u 'abiba-bot@chat.sysloggh.net:KEY'
+# Expected: 200 (HTTP 000 = unreachable/cache)
+
+# PM2 process health
+pm2 jlist
+# Expected: 5/5 online (abiba-telegram, abiba-zulip, zulip-watchdog, gitea-runner, spoton-service)
+
+# GPU exporters (may be down per DEPLOYMENT STATUS)
+curl -s http://192.168.68.8:9400/metrics && echo " - OK" || echo " - FAIL"
+curl -s http://192.168.68.110:9400/metrics && echo " - OK" || echo " - FAIL"
+curl -s http://192.168.68.15:9400/metrics && echo " - OK" || echo " - FAIL"
+
+# Prometheus targets
+curl -s http://192.168.68.116:9090/api/v1/targets | jq '.data.activeTargets'
+# Expected: All targets UP (may show some down if exporters not deployed)
+
+# Grafana health
+curl -s http://192.168.68.116:3001/api/health | jq '{status, version}'
+# Expected: {"status":"ok","version":"..."}
+
+# LiteLLM metrics
+curl -s http://192.168.68.116:4001/metrics | head -20
+# Expected: Prometheus-formatted metrics output
+```
+
+**Report format**: Summarize actual results from each probe. If any probe returns non-200 or empty output, flag as alert.
+
+### Phase 1: GPU Exporters
+
+**NVIDIA (.8 and .110)**:
+1. Download `nvidia_gpu_exporter` binary
+2. Create systemd service `nvidia-gpu-exporter.service`
+3. Start and enable
+
+**AMD (.15)**:
+1. Create Python exporter script at `/opt/amdgpu-exporter/exporter.py`
+2. Parses `amdgpu_top --json -d 1000` output
+3. Exposes key metrics at `:9400/metrics` via Python http.server
+4. Create systemd service
+5. Start and enable
+
+### Phase 2: Prometheus
+
+1. Create `/opt/monitoring/` directory on CT 116
+2. Write `prometheus.yml` with scrape configs for all targets
+3. Add to docker-compose (or separate compose file)
+4. Start container
+
+### Phase 3: Grafana
+
+1. Create `/opt/monitoring/grafana/` directories
+2. Provision Prometheus datasource
+3. Provision GPU fleet dashboard JSON
+4. Provision LiteLLM dashboard JSON
+5. Add to docker-compose
+6. Start container
+
+### Phase 4: Verification
+
+1. Verify all 3 GPU exporters return 200 at :9400/metrics
+2. Verify Prometheus targets all UP at :9090/targets
+3. Verify Grafana accessible at :3001 with dashboards
+4. Verify LiteLLM metrics flowing to Prometheus
+5. ~~Update nginx to proxy `/monitoring/` → Grafana~~ (NOT recommended — nginx sub-path was tried for /grafana/ and reverted per proxmox-monitor; direct :3001 access is the standard)
+
 ## Verification Commands
 
 ```bash