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    "description": "# 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## ⚡ Section 1: Capture the Brief & Build the Prompt\n\n* **📝 FormTrigger\\_CopywritingBrief** → A simple form asks: *“What is your product about?”*\n* **⚙️ Set\\_PromptForHeadline** → Prepares the input by appending the instruction:\n  *“Write a Facebook ad headline for this product:”*\n\n**Benefit:** Ensures consistent, structured prompts so the AI receives clear context every time.\n\n---\n\n## ✍️ Section 2: Draft the Headline\n\n* **💬 LLM\\_HeadlineWriterModel** → GPT-4o-mini model provides the intelligence.\n* **✍️ Agent\\_HeadlineWriter** → Generates a first-pass Facebook ad headline.\n\n**Benefit:** Produces creative copy instantly without waiting on a human writer.\n\n---\n\n## 📋 Section 3: Define Scoring Criteria\n\n* **💬 LLM\\_EvalCriteriaModel** → Calls GPT-4o-mini again.\n* **📑 Agent\\_EvalCriteriaBuilder** → 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## 🔍 Section 4: Evaluate the Headline\n\n* **💬 LLM\\_HeadlineEvaluatorModel** → Supplies reasoning power.\n* **🔍 Agent\\_HeadlineEvaluator** → 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## 🔄 Section 5: Decide & Iterate (if needed)\n\n* **💬 LLM\\_BottomLineModel** → Interprets the evaluation results.\n* **🤔 Agent\\_IterationDecision** → Decides:\n\n  * Return **NO** → headline is acceptable.\n  * Return **YES** + feedback → headline should be rewritten.\n* **🔀 If\\_NeedMoreIterations** → Branches:\n\n  * If **NO** → continue workflow.\n  * If **YES** → (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## 📩 Section 6: Deliver the Result\n\n* **📧 Send a message (Gmail node)** → 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## 📊 Workflow Overview\n\n| Section              | Purpose                            | Key Nodes                                             | Benefit                        |\n| -------------------- | ---------------------------------- | ----------------------------------------------------- | ------------------------------ |\n| ⚡ Capture Brief      | Collect product info & prep prompt | FormTrigger, Set                                      | Structured AI input            |\n| ✍️ Draft Headline    | Generate first headline            | LLM\\_HeadlineWriterModel, Agent\\_HeadlineWriter       | Instant creative draft         |\n| 📋 Define Criteria   | Build scoring rubric               | LLM\\_EvalCriteriaModel, Agent\\_EvalCriteriaBuilder    | Objective evaluation           |\n| 🔍 Evaluate Headline | Score headline & summarize         | LLM\\_HeadlineEvaluatorModel, Agent\\_HeadlineEvaluator | Transparent quality check      |\n| 🔄 Decide & Iterate  | Accept or refine headline          | LLM\\_BottomLineModel, Agent\\_IterationDecision, If    | Only good results move forward |\n| 📩 Deliver Result    | Share the final copy               | Gmail                                                 | Automates delivery             |\n\n---\n\n## ✅ Final Benefits\n\n* 🚀 One-click workflow: from product description to tested headline.\n* 📊 Automatic rubric: objective scoring each time.\n* 🔄 Self-improving: poor headlines can auto-iterate with feedback.\n* 📧 Direct integration: approved headlines land in Gmail instantly.\n* 🧩 Fully modular: easy to extend with Google Sheets, Slack, or CRM nodes.\n\n---\n\n",
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            "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"
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            "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## ⚡ Section 1: Capture the Brief & Build the Prompt\n\n* **📝 FormTrigger\\_CopywritingBrief** → A simple form asks: *“What is your product about?”*\n* **⚙️ Set\\_PromptForHeadline** → Prepares the input by appending the instruction:\n  *“Write a Facebook ad headline for this product:”*\n\n**Benefit:** Ensures consistent, structured prompts so the AI receives clear context every time.\n\n---\n\n## ✍️ Section 2: Draft the Headline\n\n* **💬 LLM\\_HeadlineWriterModel** → GPT-4o-mini model provides the intelligence.\n* **✍️ Agent\\_HeadlineWriter** → Generates a first-pass Facebook ad headline.\n\n**Benefit:** Produces creative copy instantly without waiting on a human writer.\n\n---\n\n## 📋 Section 3: Define Scoring Criteria\n\n* **💬 LLM\\_EvalCriteriaModel** → Calls GPT-4o-mini again.\n* **📑 Agent\\_EvalCriteriaBuilder** → 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## 🔍 Section 4: Evaluate the Headline\n\n* **💬 LLM\\_HeadlineEvaluatorModel** → Supplies reasoning power.\n* **🔍 Agent\\_HeadlineEvaluator** → 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## 🔄 Section 5: Decide & Iterate (if needed)\n\n* **💬 LLM\\_BottomLineModel** → Interprets the evaluation results.\n* **🤔 Agent\\_IterationDecision** → Decides:\n\n  * Return **NO** → headline is acceptable.\n  * Return **YES** + feedback → headline should be rewritten.\n* **🔀 If\\_NeedMoreIterations** → Branches:\n\n  * If **NO** → continue workflow.\n  * If **YES** → (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## 📩 Section 6: Deliver the Result\n\n* **📧 Send a message (Gmail node)** → 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## 📊 Workflow Overview\n\n| Section              | Purpose                            | Key Nodes                                             | Benefit                        |\n| -------------------- | ---------------------------------- | ----------------------------------------------------- | ------------------------------ |\n| ⚡ Capture Brief      | Collect product info & prep prompt | FormTrigger, Set                                      | Structured AI input            |\n| ✍️ Draft Headline    | Generate first headline            | LLM\\_HeadlineWriterModel, Agent\\_HeadlineWriter       | Instant creative draft         |\n| 📋 Define Criteria   | Build scoring rubric               | LLM\\_EvalCriteriaModel, Agent\\_EvalCriteriaBuilder    | Objective evaluation           |\n| 🔍 Evaluate Headline | Score headline & summarize         | LLM\\_HeadlineEvaluatorModel, Agent\\_HeadlineEvaluator | Transparent quality check      |\n| 🔄 Decide & Iterate  | Accept or refine headline          | LLM\\_BottomLineModel, Agent\\_IterationDecision, If    | Only good results move forward |\n| 📩 Deliver Result    | Share the final copy               | Gmail                                                 | Automates delivery             |\n\n---\n\n## ✅ Final Benefits\n\n* 🚀 One-click workflow: from product description to tested headline.\n* 📊 Automatic rubric: objective scoring each time.\n* 🔄 Self-improving: poor headlines can auto-iterate with feedback.\n* 📧 Direct integration: approved headlines land in Gmail instantly.\n* 🧩 Fully modular: easy to extend with Google Sheets, Slack, or CRM nodes.\n\n---\n\n"
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      {
        "id": 1225,
        "icon": "file:form.svg",
        "name": "n8n-nodes-base.formTrigger",
        "codex": {
          "data": {
            "alias": [
              "table",
              "submit",
              "post"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Other Trigger Nodes"
              ]
            }
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "On form submission"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0NiIgaGVpZ2h0PSI0MCIgZmlsbD0ibm9uZSI+PHBhdGggZmlsbD0iIzAwQjdCQyIgZmlsbC1ydWxlPSJldmVub2RkIiBkPSJNMzQuOTc4IDM3LjczMmExLjU2IDEuNTYgMCAwIDEtMS41NjIgMS41NjNINi4yNmExLjU2IDEuNTYgMCAwIDEtMS41NjMtMS41NjNWOS42MDdjMC0uNDA1LjE1Ny0uNzk0LjQzOC0xLjA4Nmw2LjMwNC02LjUzMXY1LjM0NEg4LjIxM2ExLjE3MiAxLjE3MiAwIDEgMCAwIDIuMzQzaDQuNDNhMS4xNyAxLjE3IDAgMCAwIDEuMTcxLTEuMTcxVi4yMzJoMTkuNjAyYTEuNTYgMS41NiAwIDAgMSAxLjU2MiAxLjU2M3YxMC4zMjdsLTIuODYgMi44Ni04LjI1MiA4LjI3NmE0MTMuMDA2IDQxMy4wMDYgMCAwIDEtMS42NTQgMS42NjJsLS4zMzcuMzM3YTIgMiAwIDAgMC0uNTU3IDEuMDhMMjAuMyAzMS45MjJjLS4xMDguNjM4LS4yMTUgMS4wNzkuMjExIDEuNDE4LjQwMy4zMi45LjE3NCAxLjU0LjA2Nmw1LjQwOC0uOTI4YTIgMiAwIDAgMCAxLjA4LS41NTZsNi40NC02LjQyOXptLTI0LjAzLTIxLjI2NWExLjE4IDEuMTggMCAwIDAgMS4xNzEgMS4xNzJoMTMuMTYzYTEuMTcyIDEuMTcyIDAgMSAwIDAtMi4zNDRIMTIuMTE5YTEuMTcgMS4xNyAwIDAgMC0xLjE3MiAxLjE3Mm03LjI5NCAxNC43NjZhMS4xNyAxLjE3IDAgMCAwLTEuMTcyLTEuMTcySDEyLjEyYTEuMTcyIDEuMTcyIDAgMSAwIDAgMi4zNDNoNC45NTFhMS4xNyAxLjE3IDAgMCAwIDEuMTcyLTEuMTcybS44Ni03LjM5MWExLjE3IDEuMTcgMCAwIDAtMS4xNzItMS4xNzJoLTUuODExYTEuMTcyIDEuMTcyIDAgMSAwIDAgMi4zNDNoNS44MWExLjE2NCAxLjE2NCAwIDAgMCAxLjE3My0xLjE3MSIgY2xpcC1ydWxlPSJldmVub2RkIi8+PHBhdGggZmlsbD0iIzAwQjdCQyIgZD0ibTMzLjUzMiAxNi4zOTcgNC4yODktNC4yODkgMy43NTggMy43MSAxLjYxNy0xLjYxNiAyLjI1OCAyLjI1N2MuMjE4LjIxOC4zNC41MTMuMzQzLjgyLS4wMDIuMzExLS4xMjUuNjA4LS4zNDQuODNsLTYuODA0IDYuNzk2YTEuMTMgMS4xMyAwIDAgMS0uODI4LjM0MyAxLjE1IDEuMTUgMCAwIDEtLjgyOC0uMzQzIDEuMTggMS4xOCAwIDAgMSAwLTEuNjU3bDUuOTc2LTUuOTY4LTEuMzEyLTEuMzEzLTEuMzgzIDEuNDE0LTEzLjE0OSAxMy4xMjUtNC42MTcuNzgyLjc4Mi00LjYxNy4zMzYtLjMzNyAyLjU2MiAyLjU1NWExLjEgMS4xIDAgMCAwIC44MjguMzQ0Yy4zMTIuMDA1LjYxMi0uMTIuODI4LS4zNDRhMS4xOCAxLjE4IDAgMCAwIDAtMS42NTZsLTIuNTYyLTIuNTYyek00NC43MzYgMTIuMjRjMCAuNDE0LS4xNjMuODEtLjQ1NCAxLjEwMmwtLjkyMi45MTQtMy44NTItMy44MjguOTMtLjkzYTEuNTYzIDEuNTYzIDAgMCAxIDIuMjAzIDBsMS42NCAxLjY0MWMuMjkxLjI5My40NTUuNjkuNDU1IDEuMTAyIi8+PC9zdmc+"
        },
        "displayName": "n8n Form Trigger",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 31,
        "name": "Content Creation"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}