diff --git a/scripts/n8n-kickstart.ts b/scripts/n8n-kickstart.ts
index 942e794..39531c4 100644
--- a/scripts/n8n-kickstart.ts
+++ b/scripts/n8n-kickstart.ts
@@ -1,5 +1,6 @@
 import * as fs from "fs";
 import * as path from "path";
+import * as readline from "readline";
 
 // Helper to manually load .env file
 function loadEnv() {
@@ -23,7 +24,6 @@ loadEnv();
 
 const N8N_HOST = process.env.N8N_HOST || "https://n8n.gaboggamer.online";
 const N8N_API_KEY = process.env.N8N_API_KEY;
-const DEEPSEEK_API_KEY = process.env.DEEPSEEK_API_KEY;
 const EMAIL_USER = process.env.EMAIL_USER;
 const EMAIL_PASSWORD = process.env.EMAIL_PASSWORD;
 const EMAIL_HOST = process.env.EMAIL_HOST;
@@ -36,6 +36,21 @@ if (!N8N_API_KEY) {
   process.exit(1);
 }
 
+// Interactive prompt helper
+function askQuestion(query: string): Promise<string> {
+  const rl = readline.createInterface({
+    input: process.stdin,
+    output: process.stdout,
+  });
+
+  return new Promise((resolve) =>
+    rl.question(query, (ans) => {
+      rl.close();
+      resolve(ans.trim());
+    })
+  );
+}
+
 // n8n request helper
 async function n8nRequest(endpoint: string, method: string = "GET", body?: any) {
   const response = await fetch(`${N8N_HOST}${endpoint}`, {
@@ -77,8 +92,140 @@ async function getOrCreateCredential(name: string, type: string, data: any) {
   }
 }
 
+// LLM provider node configuration details
+interface ProviderConfig {
+  nodeType: string;
+  credentialType: string;
+  credentialData: any;
+  nodeParameters: any;
+}
+
+function getProviderConfig(provider: string, apiKey: string, modelName: string): ProviderConfig {
+  switch (provider) {
+    case "1": // Deepseek (Native)
+      return {
+        nodeType: "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
+        credentialType: "deepSeekApi",
+        credentialData: {
+          apiKey,
+          allowedHttpRequestDomains: "none",
+        },
+        nodeParameters: {
+          model: modelName || "deepseek-chat",
+          options: {},
+        },
+      };
+    case "2": // OpenAI
+      return {
+        nodeType: "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+        credentialType: "openAiApi",
+        credentialData: {
+          apiKey,
+          header: false,
+          allowedHttpRequestDomains: "none",
+        },
+        nodeParameters: {
+          model: modelName || "gpt-4o-mini",
+          options: {},
+        },
+      };
+    case "3": // Google Gemini
+      return {
+        nodeType: "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
+        credentialType: "googlePalmApi",
+        credentialData: {
+          apiKey,
+          host: "https://generativelanguage.googleapis.com",
+          allowedHttpRequestDomains: "none",
+        },
+        nodeParameters: {
+          model: modelName || "gemini-1.5-flash",
+          options: {},
+        },
+      };
+    case "4": // Anthropic
+      return {
+        nodeType: "@n8n/n8n-nodes-langchain.lmChatAnthropic",
+        credentialType: "anthropicApi",
+        credentialData: {
+          apiKey,
+          allowedHttpRequestDomains: "none",
+        },
+        nodeParameters: {
+          model: modelName || "claude-3-5-sonnet-latest",
+          options: {},
+        },
+      };
+    default:
+      throw new Error("Invalid provider chosen");
+  }
+}
+
 async function main() {
-  console.log("Kickstarting n8n configuration with native integrations...");
+  console.log("\n==================================================");
+  console.log("Welcome to n8n Kickstart Interactive Setup");
+  console.log("==================================================");
+
+  // 1. Ask for Primary Provider
+  console.log("\nSelect Primary LLM Provider:");
+  console.log("1. Deepseek (Native Node)");
+  console.log("2. OpenAI (Standard)");
+  console.log("3. Google Gemini");
+  console.log("4. Anthropic");
+  const primaryProviderChoice = await askQuestion("Enter choice (1-4) [default: 1]: ") || "1";
+
+  let defaultModel = "deepseek-chat";
+  if (primaryProviderChoice === "2") defaultModel = "gpt-4o-mini";
+  else if (primaryProviderChoice === "3") defaultModel = "gemini-1.5-flash";
+  else if (primaryProviderChoice === "4") defaultModel = "claude-3-5-sonnet-latest";
+
+  const primaryModelName = await askQuestion(`Enter primary model name [default: ${defaultModel}]: `) || defaultModel;
+
+  let defaultKey = "";
+  if (primaryProviderChoice === "1") defaultKey = process.env.DEEPSEEK_API_KEY || "";
+  else if (primaryProviderChoice === "3") defaultKey = process.env.GEMINI_API_KEY || "";
+
+  const primaryApiKey = await askQuestion(`Enter API key [default: ${defaultKey ? "Loaded from .env" : "None"}]: `) || defaultKey;
+  if (!primaryApiKey) {
+    console.error("API Key is required.");
+    process.exit(1);
+  }
+
+  // 2. Ask for Fallback Provider
+  const configureFallback = (await askQuestion("\nDo you want to configure a Fallback LLM Model? (y/n) [default: n]: ") || "n").toLowerCase() === "y";
+  let fallbackProviderChoice = "";
+  let fallbackModelName = "";
+  let fallbackApiKey = "";
+
+  if (configureFallback) {
+    console.log("\nSelect Fallback LLM Provider:");
+    console.log("1. Deepseek (Native Node)");
+    console.log("2. OpenAI (Standard)");
+    console.log("3. Google Gemini");
+    console.log("4. Anthropic");
+    fallbackProviderChoice = await askQuestion("Enter choice (1-4) [default: 3]: ") || "3";
+
+    let defaultFallbackModel = "gemini-1.5-flash";
+    if (fallbackProviderChoice === "1") defaultFallbackModel = "deepseek-chat";
+    else if (fallbackProviderChoice === "2") defaultFallbackModel = "gpt-4o-mini";
+    else if (fallbackProviderChoice === "4") defaultFallbackModel = "claude-3-5-sonnet-latest";
+
+    fallbackModelName = await askQuestion(`Enter fallback model name [default: ${defaultFallbackModel}]: `) || defaultFallbackModel;
+
+    let defaultFallbackKey = "";
+    if (fallbackProviderChoice === "1") defaultFallbackKey = process.env.DEEPSEEK_API_KEY || "";
+    else if (fallbackProviderChoice === "3") defaultFallbackKey = process.env.GEMINI_API_KEY || "";
+
+    fallbackApiKey = await askQuestion(`Enter fallback API key [default: ${defaultFallbackKey ? "Loaded from .env" : "None"}]: `) || defaultFallbackKey;
+    if (!fallbackApiKey) {
+      console.error("Fallback API Key is required when fallback is enabled.");
+      process.exit(1);
+    }
+  }
+
+  console.log("\n==================================================");
+  console.log("Setting up credentials on n8n server...");
+  console.log("==================================================");
 
   // 1. Manage IMAP Credentials
   const imapCredId = await getOrCreateCredential("Semillero2_IMAP", "imap", {
@@ -89,158 +236,369 @@ async function main() {
     secure: true,
   });
 
-  // 2. Manage OpenAI/Deepseek Credentials with explicit required validation flags
-  const openAiCredId = await getOrCreateCredential("Semillero2_OpenAI", "openAiApi", {
-    apiKey: DEEPSEEK_API_KEY,
-    url: "https://api.deepseek.com/v1",
-    header: false,
-    allowedHttpRequestDomains: "none",
-  });
-
-  // 3. Manage Supabase Credentials using modern keys structure (sb_secret_...)
+  // 2. Manage Supabase Credentials using modern keys structure
   const supabaseCredId = await getOrCreateCredential("Semillero2_Supabase", "supabaseApi", {
     host: SUPABASE_URL,
     serviceRole: SUPABASE_SECRET_KEY,
     allowedHttpRequestDomains: "none",
   });
 
-  // 4. Define Workflow 3: Core AI Parsing Sub-workflow
-  console.log("Deploying Workflow 3: Core AI Parsing Sub-workflow (Native AI & Supabase)...");
-  const workflow3Definition = {
-    name: "Semillero2: Core AI Parsing Sub-workflow",
-    settings: {},
-    nodes: [
-      {
-        parameters: {},
-        id: "w3-trigger-id",
-        name: "Execute Workflow Trigger",
-        type: "n8n-nodes-base.executeWorkflowTrigger",
-        typeVersion: 1,
-        position: [250, 300],
+  // 3. Manage Primary Model Credentials
+  const primaryConfig = getProviderConfig(primaryProviderChoice, primaryApiKey, primaryModelName);
+  const primaryCredId = await getOrCreateCredential("Semillero2_Primary_Model", primaryConfig.credentialType, primaryConfig.credentialData);
+
+  // 4. Manage Fallback Model Credentials (if enabled)
+  let fallbackConfig: ProviderConfig | null = null;
+  let fallbackCredId = "";
+  if (configureFallback) {
+    fallbackConfig = getProviderConfig(fallbackProviderChoice, fallbackApiKey, fallbackModelName);
+    fallbackCredId = await getOrCreateCredential("Semillero2_Fallback_Model", fallbackConfig.credentialType, fallbackConfig.credentialData);
+  }
+
+  // Define nodes dynamically
+  console.log("\nBuilding workflow configurations...");
+
+  const parserNode = {
+    parameters: {
+      jsonSchema: "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"summary\": {\n      \"type\": \"string\"\n    },\n    \"classification\": {\n      \"type\": \"string\",\n      \"enum\": [\"Qualified\", \"Unqualified\", \"Review\"]\n    },\n    \"suggestions\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"riskLevel\": {\n      \"type\": \"string\",\n      \"enum\": [\"Low\", \"Medium\", \"High\"]\n    }\n  },\n  \"required\": [\"summary\", \"classification\", \"suggestions\", \"riskLevel\"]\n}",
+    },
+    id: "w3-parser-primary-id",
+    name: "Structured Output Parser",
+    type: "@n8n/n8n-nodes-langchain.outputParserStructured",
+    typeVersion: 1,
+    position: [680, 480],
+  };
+
+  const primaryChainNode = {
+    parameters: {
+      promptType: "Define below", // Fixed casing as required!
+      text: "={{ $json.text }}",
+      systemMessage: "You are an AI recruitment assistant. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these four keys:\n- summary: a brief profile summary.\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps.\n- riskLevel: 'Low', 'Medium', or 'High'.\n\nDo not include markdown code blocks or any text outside the JSON.",
+    },
+    id: "w3-chain-primary-id",
+    name: "Basic LLM Chain (Primary)",
+    type: "@n8n/n8n-nodes-langchain.chainLlm",
+    typeVersion: 1.4,
+    position: [480, 300],
+    continueOnFail: configureFallback, // enable continue on fail only if fallback exists
+  };
+
+  const primaryModelNode = {
+    parameters: primaryConfig.nodeParameters,
+    id: "w3-model-primary-id",
+    name: "Primary Chat Model",
+    type: primaryConfig.nodeType,
+    typeVersion: 1,
+    position: [480, 480],
+    credentials: {
+      [primaryConfig.credentialType]: {
+        id: primaryCredId,
+        name: "Semillero2_Primary_Model",
       },
-      {
-        parameters: {
-          promptType: "defineBelow",
-          text: "={{ $json.text }}",
-          systemMessage: "You are an AI recruitment assistant. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these four keys:\n- summary: a brief profile summary.\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps.\n- riskLevel: 'Low', 'Medium', or 'High'.\n\nDo not include markdown code blocks or any text outside the JSON.",
-        },
-        id: "w3-chain-id",
-        name: "Basic LLM Chain",
-        type: "@n8n/n8n-nodes-langchain.chainLlm",
-        typeVersion: 1.4,
-        position: [480, 300],
-      },
-      {
-        parameters: {
-          model: "deepseek-chat",
-          options: {
-            baseURL: "https://api.deepseek.com/v1",
-          },
-        },
-        id: "w3-model-id",
-        name: "OpenAI Chat Model",
-        type: "@n8n/n8n-nodes-langchain.lmChatOpenAi",
-        typeVersion: 1,
-        position: [480, 480],
-        credentials: {
-          openAiApi: {
-            id: openAiCredId,
-            name: "Semillero2_OpenAI",
-          },
-        },
-      },
-      {
-        parameters: {
-          jsCode: `const content = $input.first().json.response.text;
-const cleanedText = content.replace(/\`\`\`json\\n?|\\n?\`\`\`/g, "").trim();
-const evaluation = JSON.parse(cleanedText);
-return [{
+    },
+  };
+
+  const parsePrimaryNode = {
+    parameters: {
+      jsCode: `return [{
   json: {
     name: $('Execute Workflow Trigger').item.json.name || "Unknown Candidate",
     email: $('Execute Workflow Trigger').item.json.email || "unknown@example.com",
-    summary: evaluation.summary,
-    seniority: evaluation.classification
+    summary: $input.first().json.summary,
+    seniority: $input.first().json.classification
   }
 }];`,
-        },
-        id: "w3-parse-id",
-        name: "Parse LLM Response",
-        type: "n8n-nodes-base.code",
-        typeVersion: 2,
-        position: [700, 300],
-      },
-      {
-        parameters: {
-          operation: "insert",
-          table: "candidates",
-          options: {},
-        },
-        id: "w3-supabase-id",
-        name: "Insert Candidate to Supabase",
-        type: "n8n-nodes-base.supabase",
-        typeVersion: 1,
-        position: [920, 300],
-        credentials: {
-          supabaseApi: {
-            id: supabaseCredId,
-            name: "Semillero2_Supabase",
-          },
-        },
-      },
-    ],
-    connections: {
-      "Execute Workflow Trigger": {
-        main: [
-          [
-            {
-              node: "Basic LLM Chain",
-              type: "main",
-              index: 0,
-            },
-          ],
-        ],
-      },
-      "OpenAI Chat Model": {
-        ai_languageModel: [
-          [
-            {
-              node: "Basic LLM Chain",
-              type: "ai_languageModel",
-              index: 0,
-            },
-          ],
-        ],
-      },
-      "Basic LLM Chain": {
-        main: [
-          [
-            {
-              node: "Parse LLM Response",
-              type: "main",
-              index: 0,
-            },
-          ],
-        ],
-      },
-      "Parse LLM Response": {
-        main: [
-          [
-            {
-              node: "Insert Candidate to Supabase",
-              type: "main",
-              index: 0,
-            },
-          ],
-        ],
+    },
+    id: "w3-parse-primary-id",
+    name: "Parse Primary Response",
+    type: "n8n-nodes-base.code",
+    typeVersion: 2,
+    position: [900, 200],
+  };
+
+  const supabaseInsertNode = {
+    parameters: {
+      operation: "insert",
+      table: "candidates",
+      options: {},
+    },
+    id: "w3-supabase-id",
+    name: "Insert Candidate to Supabase",
+    type: "n8n-nodes-base.supabase",
+    typeVersion: 1,
+    position: [1150, 300],
+    credentials: {
+      supabaseApi: {
+        id: supabaseCredId,
+        name: "Semillero2_Supabase",
       },
     },
   };
 
+  // Build the complete list of nodes and connections for Workflow 3
+  const w3Nodes: any[] = [
+    {
+      parameters: {},
+      id: "w3-trigger-id",
+      name: "Execute Workflow Trigger",
+      type: "n8n-nodes-base.executeWorkflowTrigger",
+      typeVersion: 1,
+      position: [250, 300],
+    },
+    primaryChainNode,
+    primaryModelNode,
+    parserNode,
+    supabaseInsertNode,
+  ];
+
+  const w3Connections: any = {
+    "Execute Workflow Trigger": {
+      main: [
+        [
+          {
+            node: "Basic LLM Chain (Primary)",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    },
+    "Primary Chat Model": {
+      ai_languageModel: [
+        [
+          {
+            node: "Basic LLM Chain (Primary)",
+            type: "ai_languageModel",
+            index: 0,
+          },
+        ],
+      ],
+    },
+    "Structured Output Parser": {
+      outputParser: [
+        [
+          {
+            node: "Basic LLM Chain (Primary)",
+            type: "outputParser",
+            index: 0,
+          },
+        ],
+      ],
+    },
+  };
+
+  if (configureFallback && fallbackConfig) {
+    console.log("Configuring error handling and fallback route...");
+
+    const checkErrorNode = {
+      parameters: {
+        conditions: {
+          boolean: [
+            {
+              value1: "={{ $json.hasOwnProperty('error') }}",
+              value2: true,
+            },
+          ],
+        },
+      },
+      id: "w3-check-error-id",
+      name: "Check Primary Error",
+      type: "n8n-nodes-base.if",
+      typeVersion: 2.2,
+      position: [680, 200],
+    };
+
+    const fallbackChainNode = {
+      parameters: {
+        promptType: "Define below",
+        text: "={{ $('Execute Workflow Trigger').item.json.text }}",
+        systemMessage: "You are an AI recruitment assistant. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these four keys:\n- summary: a brief profile summary.\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps.\n- riskLevel: 'Low', 'Medium', or 'High'.\n\nDo not include markdown code blocks or any text outside the JSON.",
+      },
+      id: "w3-chain-fallback-id",
+      name: "Basic LLM Chain (Fallback)",
+      type: "@n8n/n8n-nodes-langchain.chainLlm",
+      typeVersion: 1.4,
+      position: [900, 400],
+    };
+
+    const fallbackModelNode = {
+      parameters: fallbackConfig.nodeParameters,
+      id: "w3-model-fallback-id",
+      name: "Fallback Chat Model",
+      type: fallbackConfig.nodeType,
+      typeVersion: 1,
+      position: [900, 580],
+      credentials: {
+        [fallbackConfig.credentialType]: {
+          id: fallbackCredId,
+          name: "Semillero2_Fallback_Model",
+        },
+      },
+    };
+
+    const parserFallbackNode = {
+      parameters: {
+        jsonSchema: "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"summary\": {\n      \"type\": \"string\"\n    },\n    \"classification\": {\n      \"type\": \"string\",\n      \"enum\": [\"Qualified\", \"Unqualified\", \"Review\"]\n    },\n    \"suggestions\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    },\n    \"riskLevel\": {\n      \"type\": \"string\",\n      \"enum\": [\"Low\", \"Medium\", \"High\"]\n    }\n  },\n  \"required\": [\"summary\", \"classification\", \"suggestions\", \"riskLevel\"]\n}",
+      },
+      id: "w3-parser-fallback-id",
+      name: "Structured Output Parser (Fallback)",
+      type: "@n8n/n8n-nodes-langchain.outputParserStructured",
+      typeVersion: 1,
+      position: [1050, 580],
+    };
+
+    const parseFallbackNode = {
+      parameters: {
+        jsCode: `return [{
+  json: {
+    name: $('Execute Workflow Trigger').item.json.name || "Unknown Candidate",
+    email: $('Execute Workflow Trigger').item.json.email || "unknown@example.com",
+    summary: $input.first().json.summary,
+    seniority: $input.first().json.classification
+  }
+}];`,
+      },
+      id: "w3-parse-fallback-id",
+      name: "Parse Fallback Response",
+      type: "n8n-nodes-base.code",
+      typeVersion: 2,
+      position: [1120, 400],
+    };
+
+    w3Nodes.push(checkErrorNode, parsePrimaryNode, fallbackChainNode, fallbackModelNode, parserFallbackNode, parseFallbackNode);
+
+    // Wire fallback connections
+    w3Connections["Basic LLM Chain (Primary)"] = {
+      main: [
+        [
+          {
+            node: "Check Primary Error",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    };
+
+    w3Connections["Check Primary Error"] = {
+      main: [
+        [
+          {
+            node: "Basic LLM Chain (Fallback)",
+            type: "main",
+            index: 0,
+          },
+        ], // Output 0 (true -> Error happened)
+        [
+          {
+            node: "Parse Primary Response",
+            type: "main",
+            index: 0,
+          },
+        ], // Output 1 (false -> Success)
+      ],
+    };
+
+    w3Connections["Fallback Chat Model"] = {
+      ai_languageModel: [
+        [
+          {
+            node: "Basic LLM Chain (Fallback)",
+            type: "ai_languageModel",
+            index: 0,
+          },
+        ],
+      ],
+    };
+
+    w3Connections["Structured Output Parser (Fallback)"] = {
+      outputParser: [
+        [
+          {
+            node: "Basic LLM Chain (Fallback)",
+            type: "outputParser",
+            index: 0,
+          },
+        ],
+      ],
+    };
+
+    w3Connections["Basic LLM Chain (Fallback)"] = {
+      main: [
+        [
+          {
+            node: "Parse Fallback Response",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    };
+
+    w3Connections["Parse Primary Response"] = {
+      main: [
+        [
+          {
+            node: "Insert Candidate to Supabase",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    };
+
+    w3Connections["Parse Fallback Response"] = {
+      main: [
+        [
+          {
+            node: "Insert Candidate to Supabase",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    };
+  } else {
+    // If no fallback, wire directly Primary Chain -> Parse Primary Response -> Supabase
+    w3Nodes.push(parsePrimaryNode);
+    w3Connections["Basic LLM Chain (Primary)"] = {
+      main: [
+        [
+          {
+            node: "Parse Primary Response",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    };
+    w3Connections["Parse Primary Response"] = {
+      main: [
+        [
+          {
+            node: "Insert Candidate to Supabase",
+            type: "main",
+            index: 0,
+          },
+        ],
+      ],
+    };
+  }
+
+  // 5. Deploy Workflow 3
+  console.log("\nDeploying Workflow 3: Core AI Parsing Sub-workflow...");
+  const workflow3Definition = {
+    name: "Semillero2: Core AI Parsing Sub-workflow",
+    settings: {},
+    nodes: w3Nodes,
+    connections: w3Connections,
+  };
+
   const w3Result = await n8nRequest("/api/v1/workflows", "POST", workflow3Definition);
   const w3Id = w3Result.id;
   console.log(`Workflow 3 deployed successfully (ID: ${w3Id})`);
 
-  // 5. Define Workflow 1: The API Gateway (Web UI Ingestion)
+  // 6. Define Workflow 1: The API Gateway (Web UI Ingestion)
   console.log("Deploying Workflow 1: The API Gateway...");
   const workflow1Definition = {
     name: "Semillero2: API Gateway (Web UI Ingestion)",
@@ -345,7 +703,7 @@ return [{
   console.log(`Workflow 1 deployed successfully (ID: ${w1Id})`);
   console.log(`Webhook URL: ${webhookPath}`);
 
-  // 6. Define Workflow 2: Email Ingestion Listener
+  // 7. Define Workflow 2: Email Ingestion Listener
   console.log("Deploying Workflow 2: Email Ingestion Listener...");
   const workflow2Definition = {
     name: "Semillero2: Email Ingestion Listener",