diff --git a/README.md b/README.md
index 0594c67..4b3a45a 100644
--- a/README.md
+++ b/README.md
@@ -73,7 +73,68 @@ const registry = {
 };
 ```
 
-### 3. Let AI Generate
+### 3. Create Your API Route (backend)
+`useUIStream` expects JSONL patches from your API in this exact format:
+```jsonl
+{"op":"set","path":"/root","value":"element-key"}
+{"op":"set","path":"/elements/{key}","value":{"key":"...","type":"...","props":{...},"children":[...]}}
+```
+
+#### useUIStream Reference
+```typescript
+const { tree, isStreaming, error, send, clear } = useUIStream({
+  api: "/api/generate",
+  onComplete: (tree) => {},
+  onError: (error) => {},
+});
+
+// send() takes a STRING, not an object
+await send("Create a dashboard");
+```
+
+#### Example API Route (Next.js + AI SDK)
+
+```typescript
+// app/api/generate/route.ts
+import { openai } from "@ai-sdk/openai";
+import { streamText } from "ai";
+
+const SYSTEM_PROMPT = `Output JSONL patches to build UI. Format:
+{"op":"set","path":"/root","value":"key"}
+{"op":"set","path":"/elements/key","value":{"key":"...","type":"...","props":{...},"children":[...]}}
+
+Rules: One JSON per line. No markdown. children is array of key strings.`;
+
+export async function POST(req: Request) {
+  const { prompt } = await req.json();
+  const result = streamText({
+    model: openai("gpt-4o"),
+    system: SYSTEM_PROMPT,
+    prompt,
+  });
+  return result.toTextStreamResponse();
+}
+```
+
+#### Rendering the Tree
+
+The `Renderer` component requires context providers – use `JSONUIProvider`:
+
+```tsx
+import { Renderer, JSONUIProvider } from "@json-render/react";
+
+function App() {
+  const { tree, isStreaming } = useUIStream({ api: "/api/generate" });
+
+  return (
+    <JSONUIProvider registry={registry}>
+      {tree && <Renderer tree={tree} registry={registry} loading={isStreaming} />}
+    </JSONUIProvider>
+  );
+}
+```
+
+### 4. Let AI Generate
 
 ```tsx
 import { DataProvider, ActionProvider, Renderer, useUIStream } from '@json-render/react';
@@ -91,7 +152,7 @@ function Dashboard() {
           placeholder="Create a revenue dashboard..."
           onKeyDown={(e) => e.key === 'Enter' && send(e.target.value)}
         />
-        <Renderer tree={tree} components={registry} />
+        <Renderer tree={tree} registry={registry} />
       </ActionProvider>
     </DataProvider>
   );
diff --git a/apps/web/app/docs/streaming/page.tsx b/apps/web/app/docs/streaming/page.tsx
index 29d8320..c33bec8 100644
--- a/apps/web/app/docs/streaming/page.tsx
+++ b/apps/web/app/docs/streaming/page.tsx
@@ -17,9 +17,10 @@ export default function StreamingPage() {
         json-render uses JSONL (JSON Lines) streaming. As AI generates, each
         line represents a patch operation:
       </p>
-      <Code lang="json">{`{"op":"set","path":"/root","value":{"key":"root","type":"Card","props":{"title":"Dashboard"}}}
-{"op":"add","path":"/root/children","value":{"key":"metric-1","type":"Metric","props":{"label":"Revenue"}}}
-{"op":"add","path":"/root/children","value":{"key":"metric-2","type":"Metric","props":{"label":"Users"}}}`}</Code>
+      <Code lang="json">{`{"op":"set","path":"/root","value":"dashboard"}
+{"op":"set","path":"/elements/dashboard","value":{"key":"dashboard","type":"Card","props":{"title":"Dashboard"},"children":["metric-1","metric-2"]}}
+{"op":"set","path":"/elements/metric-1","value":{"key":"metric-1","type":"Metric","props":{"label":"Revenue"}}}
+{"op":"set","path":"/elements/metric-2","value":{"key":"metric-2","type":"Metric","props":{"label":"Users"}}}`}</Code>
 
       <h2 className="text-xl font-semibold mt-12 mb-4">useUIStream Hook</h2>
       <p className="text-sm text-muted-foreground mb-4">