diff --git a/README.md b/README.md
index 2569f95..e003727 100644
--- a/README.md
+++ b/README.md
@@ -2,25 +2,29 @@
 
 Debian-based Docker image that runs hourly network speed tests (using speedtest-cli) and serves a simple web UI.
 
-What the container provides
+## Docker image
+
+Docker[^1] image on [Docker Hub](https://hub.docker.com/repository/docker/asolkar/speed-data-docker/general)
+
+## What the container provides
 - Base: debian
 - Installs: speedtest-cli
 - Runs: a cron job to execute `run_speed_test.sh` hourly
 - Serves: `index.html` and generated JS files on port 8080 via busybox httpd
 
-Files added/edited
+## Files added/edited
 - `Dockerfile` - builds the image
 - `start.sh` - entrypoint: starts cron and httpd
 - `run_speed_test.sh` - existing script (copied into image)
 
-Build locally
+## Build locally
 Make sure Docker is installed locally. From the project root run:
 
 ```bash
 docker build -t speed-data-app .
 ```
 
-Run container
+## Run container
 
 ```bash
 # Run with a named Docker volume (recommended). The container serves on $PORT inside the container
@@ -36,14 +40,14 @@ docker run -d --name speed-data -e PORT=8080 -p 8080:8080 --restart unless-stopp
 	speed-data-app
 ```
 
-Verify
+## Verify
 - Visit http://localhost:8080 to view `index.html` (which reads `speedtest.js` and `speedtest.short.js`).
 - Cron runs at minute 0 every hour. Logs go to `/var/log/cron.log` inside the container.
 
-Notes
+## Notes
 - Data files (`speedtest.js`, `speedtest.short.js`, and the raw JSON file) are written to `/var/www/data/speed` inside the container. That path is declared as a Docker VOLUME in the `Dockerfile` so you can mount a named volume or a host directory.
 - If you mount a host directory, ensure the directory is writeable by the container process. You can either:
 	- run the container as root (not recommended), or
 	- chown/chmod the host directory appropriately (e.g., `chown 1000:1000 /path/on/host` or `chmod a+rw /path/on/host`) so the container can write files.
 
-Reminder: I built the image successfully after you started Docker locally. If you'd like, I can remove/recreate the container on your machine; tell me to proceed and I'll run the commands here.
+[^1] _Note_: AI agent used to Dockerize existing project