docs: Add badges to readme

Author: jordandelbar

README.md

@@ -2,12 +2,27 @@
 
 Train in Python. Serve in Rust.
 
+[![CI](https://github.com/jordandelbar/edgeflow/actions/workflows/ci.yml/badge.svg)](https://github.com/jordandelbar/edgeflow/actions/workflows/ci.yml)
+[![License: Apache 2.0](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](LICENSE)
+[![MSRV](https://img.shields.io/badge/MSRV-1.88-orange.svg)](Cargo.toml)
+
 Edgeflow is an MLflow-compatible experiment tracker, model registry, and
 inference server, built for people who can't afford the memory tax of a
 Python serving stack. Models run as ONNX (ort or tract), pre/post
 processing runs as WASM, and deployments hot-swap without downtime.
 
-## Quickstart
+![Edgeflow deployment detail: live throughput, p50/p95/p99 latency, per-pod memory and health](docs/screenshots/deployment-detail.png)
+
+## What you get
+
+- MLflow-compatible tracking and model registry
+- ONNX inference (ort or tract backend)
+- Hot-swap deploys with no downtime
+- WASM pre/post processing
+- Runs on Kubernetes (multi target deployments) or plain docker-compose (single target deployment)
+- OpenTelemetry metrics and traces out of the box
+
+## Demo Quickstart
 
 Bring up a local server and one inference pod: