{ "id": "HyjRDR7O78FdTjJM", "meta": { "templateCredsSetupCompleted": true }, "name": "6. Generate and Auto-Evaluate Facebook Ad Headlines using GPT-4o-mini", "tags": [], "nodes": [ { "id": "53bc6494-458c-4dcb-a66c-092fb30bf6b7", "name": "Send a message", "type": "n8n-nodes-base.gmail", "position": [ 2784, 144 ], "parameters": { "message": "={{ $('Agent_HeadlineWriter').item.json.output }}", "options": {} }, "typeVersion": 2.1 }, { "id": "ca661097-1b4e-4dc6-b22c-2ff220106928", "name": "FormTrigger_CopywritingBrief", "type": "n8n-nodes-base.formTrigger", "position": [ 256, 400 ], "parameters": { "options": {}, "formTitle": "Copywriting Agent", "formFields": { "values": [ { "fieldLabel": "What is your product about?", "requiredField": true } ] } }, "typeVersion": 2.2 }, { "id": "340fb887-e9e7-45d6-8294-09337c5b20fc", "name": "Set_PromptForHeadline", "type": "n8n-nodes-base.set", "position": [ 464, 432 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "e1ad4483-fb6d-4a4a-8589-615fbe8530c9", "name": "Prompt For Agent", "type": "string", "value": "Write a facebook ad headline for this product:" } ] } }, "typeVersion": 3.4 }, { "id": "08915a22-5c32-4680-a299-9588fffc08b2", "name": "LLM_HeadlineWriterModel", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 784, 608 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "typeVersion": 1.2 }, { "id": "a831df58-17e1-4e56-863b-e5918b1a4e80", "name": "Agent_HeadlineWriter", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 816, 384 ], "parameters": { "text": "={{ $json['Prompt For Agent'] }}:{{ $('FormTrigger_CopywritingBrief').item.json['What is your product about?'] }}\n\n", "options": {}, "promptType": "define" }, "typeVersion": 1.8 }, { "id": "fd5cdd53-4738-4023-ac23-f8ada2c176f9", "name": "LLM_EvalCriteriaModel", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1216, 576 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "typeVersion": 1.2 }, { "id": "d9e284c1-92d1-43c9-9307-a4b3a2d3479f", "name": "LLM_HeadlineEvaluatorModel", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1616, 592 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "typeVersion": 1.2 }, { "id": "2484f5c0-6d3b-4a81-a82e-bb9619bc27c6", "name": "LLM_BottomLineModel", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 2128, 624 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "typeVersion": 1.2 }, { "id": "15d3350a-4fe1-49dd-8a2a-3f03350c18a2", "name": "Agent_IterationDecision", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 2144, 384 ], "parameters": { "text": "=Based on the bottom line:{{ $json.output }}\n\n\nDecide if we need another iteration.\nReturn NO if we dont,\notherwise return YES and add your feedback.", "options": {}, "promptType": "define" }, "typeVersion": 1.8 }, { "id": "086982ae-6aef-43c8-8cd1-228a2fcaebe0", "name": "If_NeedMoreIterations", "type": "n8n-nodes-base.if", "position": [ 2576, 224 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "7f7d7b1c-e8ae-4a87-a8fe-43e32f270b64", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.output }}", "rightValue": "NO" } ] } }, "typeVersion": 2.2 }, { "id": "02058dda-acda-4d7d-bf31-062598f91683", "name": "Agent_HeadlineEvaluator", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1712, 384 ], "parameters": { "text": "=Your goal is to asses the output of an AI agent.\nIt was supposed to:\n{{ $('Set_PromptForHeadline').item.json['Prompt For Agent'] }}\n\nThe answer it gave is:{{ $('Agent_HeadlineWriter').item.json.output }}\n\nProvide your response using these parameters:{{ $json.output }}. make sure you calculate your average and give a bottom line.", "options": {}, "promptType": "define" }, "typeVersion": 1.8 }, { "id": "14734fe9-5368-40b6-b386-df80aa281507", "name": "Agent_EvalCriteriaBuilder", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1264, 384 ], "parameters": { "text": "=Your goal is to define parametes for assesing the output of this prompt:\n{{ $('Set_PromptForHeadline').item.json['Prompt For Agent'] }}\n\nWhich parameters would you suggest? give me 5 parameters including the scale. All should be in scale of 1-10 (10 will be the most positive)", "options": {}, "promptType": "define" }, "typeVersion": 1.8 }, { "id": "ff7e0559-fc28-4be8-bf1b-492e4cbcb3f9", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1216, -272 ], "parameters": { "color": 4, "width": 1300, "height": 320, "content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n" }, "typeVersion": 1 }, { "id": "d3cbada6-0cbe-42cb-b7a9-600bd1c1a567", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1216, 96 ], "parameters": { "color": 4, "width": 1289, "height": 2214, "content": "# Generate and Auto-Evaluate Facebook Ad Headlines using GPT-4o-mini\n\nBuilt with **n8n + OpenAI**\n\nThis workflow captures a product description, generates ad headlines, evaluates them with custom criteria, decides whether another draft is needed, and finally sends the best version via Gmail.\n\n---\n\n## \u26a1 Section 1: Capture the Brief & Build the Prompt\n\n* **\ud83d\udcdd FormTrigger\\_CopywritingBrief** \u2192 A simple form asks: *\u201cWhat is your product about?\u201d*\n* **\u2699\ufe0f Set\\_PromptForHeadline** \u2192 Prepares the input by appending the instruction:\n *\u201cWrite a Facebook ad headline for this product:\u201d*\n\n**Benefit:** Ensures consistent, structured prompts so the AI receives clear context every time.\n\n---\n\n## \u270d\ufe0f Section 2: Draft the Headline\n\n* **\ud83d\udcac LLM\\_HeadlineWriterModel** \u2192 GPT-4o-mini model provides the intelligence.\n* **\u270d\ufe0f Agent\\_HeadlineWriter** \u2192 Generates a first-pass Facebook ad headline.\n\n**Benefit:** Produces creative copy instantly without waiting on a human writer.\n\n---\n\n## \ud83d\udccb Section 3: Define Scoring Criteria\n\n* **\ud83d\udcac LLM\\_EvalCriteriaModel** \u2192 Calls GPT-4o-mini again.\n* **\ud83d\udcd1 Agent\\_EvalCriteriaBuilder** \u2192 Suggests 5 scoring parameters (scale 1-10).\n Example: Clarity, Relevance, Hook Strength, Brand Voice, Scroll-Stoppage.\n\n**Benefit:** Builds an objective, repeatable evaluation rubric automatically.\n\n---\n\n## \ud83d\udd0d Section 4: Evaluate the Headline\n\n* **\ud83d\udcac LLM\\_HeadlineEvaluatorModel** \u2192 Supplies reasoning power.\n* **\ud83d\udd0d Agent\\_HeadlineEvaluator** \u2192 Applies the 5 criteria to the generated headline and outputs:\n\n * JSON with scores per parameter\n * An average score\n * A plain-language bottom-line\n\n**Benefit:** Turns subjective copy quality into measurable numbers.\n\n---\n\n## \ud83d\udd04 Section 5: Decide & Iterate (if needed)\n\n* **\ud83d\udcac LLM\\_BottomLineModel** \u2192 Interprets the evaluation results.\n* **\ud83e\udd14 Agent\\_IterationDecision** \u2192 Decides:\n\n * Return **NO** \u2192 headline is acceptable.\n * Return **YES** + feedback \u2192 headline should be rewritten.\n* **\ud83d\udd00 If\\_NeedMoreIterations** \u2192 Branches:\n\n * If **NO** \u2192 continue workflow.\n * If **YES** \u2192 (loop wiring possible) headline can be regenerated with feedback.\n\n**Benefit:** Keeps iterating until the AI headline meets your standards.\n\n---\n\n## \ud83d\udce9 Section 6: Deliver the Result\n\n* **\ud83d\udce7 Send a message (Gmail node)** \u2192 Sends the accepted headline via email.\n\n**Benefit:** Automates delivery of the polished, AI-approved headline to your inbox or team.\n\n---\n\n## \ud83d\udcca Workflow Overview\n\n| Section | Purpose | Key Nodes | Benefit |\n| -------------------- | ---------------------------------- | ----------------------------------------------------- | ------------------------------ |\n| \u26a1 Capture Brief | Collect product info & prep prompt | FormTrigger, Set | Structured AI input |\n| \u270d\ufe0f Draft Headline | Generate first headline | LLM\\_HeadlineWriterModel, Agent\\_HeadlineWriter | Instant creative draft |\n| \ud83d\udccb Define Criteria | Build scoring rubric | LLM\\_EvalCriteriaModel, Agent\\_EvalCriteriaBuilder | Objective evaluation |\n| \ud83d\udd0d Evaluate Headline | Score headline & summarize | LLM\\_HeadlineEvaluatorModel, Agent\\_HeadlineEvaluator | Transparent quality check |\n| \ud83d\udd04 Decide & Iterate | Accept or refine headline | LLM\\_BottomLineModel, Agent\\_IterationDecision, If | Only good results move forward |\n| \ud83d\udce9 Deliver Result | Share the final copy | Gmail | Automates delivery |\n\n---\n\n## \u2705 Final Benefits\n\n* \ud83d\ude80 One-click workflow: from product description to tested headline.\n* \ud83d\udcca Automatic rubric: objective scoring each time.\n* \ud83d\udd04 Self-improving: poor headlines can auto-iterate with feedback.\n* \ud83d\udce7 Direct integration: approved headlines land in Gmail instantly.\n* \ud83e\udde9 Fully modular: easy to extend with Google Sheets, Slack, or CRM nodes.\n\n---\n\n" }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "5f62337f-55ba-47a5-b3c4-0fe66cf02527", "connections": { "LLM_BottomLineModel": { "ai_languageModel": [ [ { "node": "Agent_IterationDecision", "type": "ai_languageModel", "index": 0 } ] ] }, "Agent_HeadlineWriter": { "main": [ [ { "node": "Agent_EvalCriteriaBuilder", "type": "main", "index": 0 } ] ] }, "If_NeedMoreIterations": { "main": [ [ { "node": "Send a message", "type": "main", "index": 0 } ] ] }, "LLM_EvalCriteriaModel": { "ai_languageModel": [ [ { "node": "Agent_EvalCriteriaBuilder", "type": "ai_languageModel", "index": 0 } ] ] }, "Set_PromptForHeadline": { "main": [ [ { "node": "Agent_HeadlineWriter", "type": "main", "index": 0 } ] ] }, "Agent_HeadlineEvaluator": { "main": [ [ { "node": "Agent_IterationDecision", "type": "main", "index": 0 } ] 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