diff --git a/server/index.ts b/server/index.ts
index 93b02f5..e453264 100644
--- a/server/index.ts
+++ b/server/index.ts
@@ -1556,52 +1556,44 @@ const RUNPOD_API_KEY = process.env.RUNPOD_API_KEY || "";
 app.get("/api/blender-gen/health", async (c) => {
 	const issues: string[] = [];
 	const warnings: string[] = [];
-	const OLLAMA_URL = process.env.OLLAMA_URL || "http://localhost:11434";
-	try {
-		const res = await fetch(`${OLLAMA_URL}/api/tags`, { signal: AbortSignal.timeout(3000) });
-		if (!res.ok) issues.push("Ollama not responding");
-	} catch {
-		issues.push("Ollama unreachable");
-	}
+	if (!GEMINI_API_KEY) issues.push("GEMINI_API_KEY not configured");
 	if (!RUNPOD_API_KEY) warnings.push("RunPod not configured — script-only mode");
 	return c.json({ available: issues.length === 0, issues, warnings });
 });
 
 app.post("/api/blender-gen", async (c) => {
+	if (!GEMINI_API_KEY) return c.json({ error: "GEMINI_API_KEY not configured" }, 503);
+
 	const { prompt } = await c.req.json();
 	if (!prompt) return c.json({ error: "prompt required" }, 400);
 
-	// Step 1: Generate Blender Python script via LLM
-	const OLLAMA_URL = process.env.OLLAMA_URL || "http://localhost:11434";
+	// Step 1: Generate Blender Python script via Gemini Flash
 	let script = "";
 
 	try {
-		const llmRes = await fetch(`${OLLAMA_URL}/api/generate`, {
-			method: "POST",
-			headers: { "Content-Type": "application/json" },
-			body: JSON.stringify({
-				model: process.env.OLLAMA_MODEL || "qwen2.5-coder:7b",
-				prompt: `Generate a Blender Python script that creates: ${prompt}\n\nThe script should:\n- Import bpy\n- Clear the default scene\n- Create the described objects with materials\n- Set up basic lighting and camera\n- Render to /tmp/render.png at 1024x1024\n\nOnly output the Python code, no explanations.`,
-				stream: false,
-			}),
-		});
+		const { GoogleGenerativeAI } = await import("@google/generative-ai");
+		const genAI = new GoogleGenerativeAI(GEMINI_API_KEY);
+		const model = genAI.getGenerativeModel({ model: "gemini-2.0-flash" });
+		const result = await model.generateContent(`Generate a Blender Python script that creates: ${prompt}
 
-		if (llmRes.ok) {
-			const llmData = await llmRes.json();
-			script = llmData.response || "";
-			// Extract code block if wrapped in markdown
-			const codeMatch = script.match(/```(?:python)?\n([\s\S]*?)```/);
-			if (codeMatch) script = codeMatch[1].trim();
-		} else {
-			const errText = await llmRes.text().catch(() => "");
-			console.error(`[blender-gen] Ollama ${llmRes.status}: ${errText}`);
-		}
+The script should:
+- Import bpy
+- Clear the default scene (delete all default objects)
+- Create the described objects with materials and colors
+- Set up basic lighting (sun + area light) and camera positioned to frame the scene
+- Render to /tmp/render.png at 1024x1024
+
+Output ONLY the Python code, no explanations or comments outside the code.`);
+
+		const text = result.response.text();
+		const codeMatch = text.match(/```(?:python)?\n([\s\S]*?)```/);
+		script = codeMatch ? codeMatch[1].trim() : text.trim();
 	} catch (e) {
-		console.error("[blender-gen] LLM error:", e);
+		console.error("[blender-gen] Gemini error:", e);
 	}
 
 	if (!script) {
-		return c.json({ error: "Failed to generate Blender script — is Ollama running?" }, 502);
+		return c.json({ error: "Failed to generate Blender script" }, 502);
 	}
 
 	// Step 2: Execute on RunPod (headless Blender) — optional