diff --git a/components/Agent.tsx b/components/Agent.tsx
index f3196fc..c40be1c 100644
--- a/components/Agent.tsx
+++ b/components/Agent.tsx
@@ -6,7 +6,7 @@ import { useRouter } from "next/navigation";
 
 import { cn } from "@/lib/utils";
 import { vapi } from "@/lib/vapi.sdk";
-import { interviewer } from "@/constants";
+import { generator, interviewer } from "@/constants";
 import { createFeedback } from "@/lib/actions/general.action";
 
 enum CallStatus {
@@ -118,12 +118,19 @@ const Agent = ({
     setCallStatus(CallStatus.CONNECTING);
 
     if (type === "generate") {
-      await vapi.start(process.env.NEXT_PUBLIC_VAPI_WORKFLOW_ID!, {
-        variableValues: {
-          username: userName,
-          userid: userId,
+      await vapi.start(
+        undefined,
+        {
+          variableValues: {
+            username: userName,
+            userid: userId,
+          },
+          clientMessages: ["transcript"],
+          serverMessages: [],
         },
-      });
+        undefined,
+        generator
+      );
     } else {
       let formattedQuestions = "";
       if (questions) {
@@ -136,6 +143,8 @@ const Agent = ({
         variableValues: {
           questions: formattedQuestions,
         },
+        clientMessages: ["transcript"],
+        serverMessages: [],
       });
     }
   };
diff --git a/constants/index.ts b/constants/index.ts
index 46be86c..9836566 100644
--- a/constants/index.ts
+++ b/constants/index.ts
@@ -1,4 +1,4 @@
-import { CreateAssistantDTO } from "@vapi-ai/web/dist/api";
+import { CreateAssistantDTO, CreateWorkflowDTO } from "@vapi-ai/web/dist/api";
 import { z } from "zod";
 
 export const mappings = {
@@ -97,6 +97,200 @@ export const mappings = {
   "aws amplify": "amplify",
 };
 
+export const generator: CreateWorkflowDTO = {
+  name: "Generate Interview",
+  nodes: [
+    {
+      name: "start",
+      type: "conversation",
+      isStart: true,
+      metadata: {
+        position: {
+          x: 0,
+          y: 0,
+        },
+      },
+      prompt:
+        "Speak first. Greet the user and help them create a new AI Interviewer",
+      voice: {
+        model: "aura-2",
+        voiceId: "thalia",
+        provider: "deepgram",
+      },
+      variableExtractionPlan: {
+        output: [
+          {
+            title: "level",
+            description: "The job experience level.",
+            type: "string",
+            enum: ["entry", "mid", "senior"],
+          },
+          {
+            title: "amount",
+            description: "How many questions would you like to generate?",
+            type: "number",
+            enum: [],
+          },
+          {
+            title: "techstack",
+            description:
+              "A list of technologies to cover during the job interview. For example, React, Next.js, Express.js, Node and so on...",
+            type: "string",
+            enum: [],
+          },
+          {
+            title: "role",
+            description:
+              "What role should would you like to train for? For example Frontend, Backend, Fullstack, Design, UX?",
+            type: "string",
+            enum: [],
+          },
+          {
+            title: "type",
+            description: "What type of the interview should it be? ",
+            type: "string",
+            enum: ["behavioural", "technical", "mixed"],
+          },
+        ],
+      },
+    },
+    {
+      name: "apiRequest_1747470739045",
+      type: "apiRequest",
+      metadata: {
+        position: {
+          x: -16.075937072883846,
+          y: 703.623428447121,
+        },
+      },
+      method: "POST",
+      url: `${process.env.NEXT_PUBLIC_BASE_URL}/api/vapi/generate`,
+      headers: {
+        type: "object",
+        properties: {},
+      },
+      body: {
+        type: "object",
+        properties: {
+          role: {
+            type: "string",
+            description: "",
+            value: "{{ role }}",
+          },
+          level: {
+            type: "string",
+            description: "",
+            value: "{{ level }}",
+          },
+          type: {
+            type: "string",
+            description: "",
+            value: "{{ type }}",
+          },
+          amount: {
+            type: "number",
+            description: "",
+            value: "{{ amount }}",
+          },
+          userid: {
+            type: "string",
+            description: "",
+            value: "{{ userid }}",
+          },
+          techstack: {
+            type: "string",
+            description: "",
+            value: "{{ techstack }}",
+          },
+        },
+      },
+      output: {
+        type: "object",
+        properties: {},
+      },
+      mode: "blocking",
+      hooks: [],
+    },
+    {
+      name: "conversation_1747721261435",
+      type: "conversation",
+      metadata: {
+        position: {
+          x: -17.547788169718615,
+          y: 1003.3409337989506,
+        },
+      },
+      prompt:
+        "Thank the user for the conversation and inform them that the interview was generated successfully.",
+      voice: {
+        provider: "deepgram",
+        voiceId: "thalia",
+        model: "aura-2",
+      },
+    },
+    {
+      name: "conversation_1747744490967",
+      type: "conversation",
+      metadata: {
+        position: {
+          x: -11.165436030430953,
+          y: 484.94857971060617,
+        },
+      },
+      prompt: "Say that the Interview will be generated shortly.",
+      voice: {
+        provider: "deepgram",
+        voiceId: "thalia",
+        model: "aura-2",
+      },
+    },
+    {
+      name: "hangup_1747744730181",
+      type: "hangup",
+      metadata: {
+        position: {
+          x: 76.01267674000721,
+          y: 1272.0665127156606,
+        },
+      },
+    },
+  ],
+  edges: [
+    {
+      from: "apiRequest_1747470739045",
+      to: "conversation_1747721261435",
+      condition: {
+        type: "ai",
+        prompt: "",
+      },
+    },
+    {
+      from: "start",
+      to: "conversation_1747744490967",
+      condition: {
+        type: "ai",
+        prompt: "If user provided all the required variables",
+      },
+    },
+    {
+      from: "conversation_1747744490967",
+      to: "apiRequest_1747470739045",
+      condition: {
+        type: "ai",
+        prompt: "",
+      },
+    },
+    {
+      from: "conversation_1747721261435",
+      to: "hangup_1747744730181",
+      condition: {
+        type: "ai",
+        prompt: "",
+      },
+    },
+  ],
+};
+
 export const interviewer: CreateAssistantDTO = {
   name: "Interviewer",
   firstMessage:
diff --git a/package-lock.json b/package-lock.json
index 63681c0..d7c4355 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -12,7 +12,7 @@
         "@hookform/resolvers": "^4.1.3",
         "@radix-ui/react-label": "^2.1.2",
         "@radix-ui/react-slot": "^1.1.2",
-        "@vapi-ai/web": "^2.2.4",
+        "@vapi-ai/web": "^2.3.0",
         "ai": "^4.1.61",
         "class-variance-authority": "^0.7.1",
         "clsx": "^2.1.1",
@@ -2867,9 +2867,9 @@
       ]
     },
     "node_modules/@vapi-ai/web": {
-      "version": "2.2.4",
-      "resolved": "https://registry.npmjs.org/@vapi-ai/web/-/web-2.2.4.tgz",
-      "integrity": "sha512-iKnr/IvECKX5Bb4JC9rfY30QgsQag0BPsY6+unF93QOS5stQycJ630YY+7FFZXjt2x5Ce4xQJu0yGJyjn34Fqg==",
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@vapi-ai/web/-/web-2.3.0.tgz",
+      "integrity": "sha512-9Xk5UGQvVaU7kChatRqGAfBXZCvpxLye+N5JlX2yu9RUmimPrQdTz8A/QBB3pIM2Q+1bkoP5v0pnooIkvOdFAQ==",
       "license": "MIT",
       "dependencies": {
         "@daily-co/daily-js": "^0.75.2",
diff --git a/package.json b/package.json
index 6340663..45a14c8 100644
--- a/package.json
+++ b/package.json
@@ -13,7 +13,7 @@
     "@hookform/resolvers": "^4.1.3",
     "@radix-ui/react-label": "^2.1.2",
     "@radix-ui/react-slot": "^1.1.2",
-    "@vapi-ai/web": "^2.2.4",
+    "@vapi-ai/web": "^2.3.0",
     "ai": "^4.1.61",
     "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",