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Generate complete social media campaigns with DALL·E, GPT-4o and Slack approval

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Generate complete social media campaigns with DALL·E, GPT-4o and Slack approval preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Description This workflow turns raw product inputs into a complete, launch ready AI generated social media campaign package. It accepts product details via webhook, sanitizes messy fields, gener...

Best for

  • Social Media automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.splitout, n8n-nodes-base.openai, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title
Generate complete social media campaigns with DALL·E, GPT-4o and Slack approval
Workflow name
Generate complete social media campaigns with DALL·E, GPT-4o and Slack approval

📘 Description

This workflow turns raw product inputs into a complete, launch-ready AI-generated social media campaign package. It accepts product details via webhook, sanitizes messy fields, generates a strategic campaign blueprint, produces Instagram captions, creates discovery-optimized hashtags, generates photorealistic commercial images, computes optimal posting times, assembles all outputs into a unified JSON package, and finally delivers the entire campaign to Slack. Multiple AI agents work in sequence to generate structured outputs — each parsed and validated using strict JSON schemas. Images produced by DALL·E 3 are uploaded to Cloudinary for hosting. A post-processing module then merges captions, images, hashtags, and schedules into a final payload. A robust error handler ensures every failure is captured and sent to Slack with diagnostic information. This workflow replaces an entire marketing team’s creative production pipeline, producing consistent, multi-asset campaign kits in minutes.

⚙️ What This Workflow Does (Step-by-Step)

🟢 Receive Product Details via Webhook Captures incoming product data including name, description, benefits, audience, and brand voice.

🧹 Clean & Normalize Product Input Fields Sanitizes escaped characters, trims whitespace, and prepares stable fields for AI consumption.

🧠 Generate Campaign Blueprint Using AI Creates a full strategic blueprint in structured JSON: • Article summary • Insights • Tone and target audience mapping • Platform-specific post objects

🧠 LLM Engine + Structured Parser for Blueprint Ensures blueprint output is clean, validated JSON aligned with schema.

✍️ Generate Instagram Captions Using AI Produces five short, conversion-ready captions + CTAs, based on blueprint insights.

🧠 Caption LLM + Structured Parser Validates caption schema for downstream use.

#️⃣ Generate Hashtag Set Using AI Creates 12–18 optimized hashtags using discovery strategy (broad, mid, niche).

🧠 Hashtag LLM + Parser Validates and ensures hashtags follow correct JSON structure.

🎨 Split Campaign Posts for Image Generation Breaks out each post’s image prompt for independent asset creation.

🖼️ Generate Social Media Image Using AI Uses DALL·E 3 to create ultra-realistic, 8K-style commercial visuals tailored to the campaign.

☁️ Upload Generated Image to Cloudinary Uploads rendered images and retrieves secure public URLs.

🕒 Generate Optimal Posting Schedule Using AI Recommends best posting time per platform (Asia/Kolkata timezone) + reasoning.

🧠 Schedule LLM + Parser Ensures a structured schedule schema with platform, time, and rationale.

🔀 Combine All Campaign Assets Merges: • Cloudinary image URLs • Captions + CTAs • Hashtag set • Posting schedule into one final dataset.

🧩 Prepare Final Campaign Package JSON Constructs production-ready unified JSON: images, captions, hashtags, schedule.

💬 Send Final Campaign Package to Slack Delivers formatted campaign output with: • Image URLs • Captions + CTAs • Hashtags • Posting times for immediate creative review.

🚨 Error Handler Trigger → Slack Alert Captures workflow failures and sends structured debugging info to Slack.

🧩 Prerequisites

• OpenAI API (GPT-4o + DALL·E 3) • Cloudinary account (image hosting) • Slack bot token • Valid webhook endpoint • Clean product input JSON

💡 Key Benefits

✔ Full AI-generated multi-asset campaign in minutes ✔ Eliminates manual copywriting, design, and planning ✔ Ensures structured, reliable JSON at every stage ✔ Creates polished commercial visuals instantly ✔ Produces posting strategy tailored to audience behavior ✔ Unified campaign delivery straight to Slack

👥 Perfect For

  • Consumer brands launching fast cycles
  • Agencies needing rapid campaign generation
  • Teams without in-house designers/copywriters
  • Influencers or D2C founders wanting automated content production

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Receive Product Details via Webhook

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2.1

Block 2 - Clean & Normalize Product Input Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Generate Campaign Blueprint Using AI

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 4 - Parse Campaign Blueprint JSON

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 5 - LLM Engine for Campaign Blueprint

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 6 - Generate Instagram Captions Using AI

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 7 - LLM Engine for Caption Writing

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 8 - Parse Caption Output JSON

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 9 - Generate Hashtag Set Using AI

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 10 - LLM Engine for Hashtag Generation

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 11 - Parse Hashtag Output JSON

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 12 - Split Campaign Posts for Image Generation

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 13 - Generate Social Media Image Using AI

Type / Role
n8n-nodes-base.openAi - openAi
Config choices
Version 1

Block 14 - Upload Generated Image to Cloudinary

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 15 - Generate Optimal Posting Schedule Using AI

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 16 - Parse Posting Schedule Output JSON

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 17 - LLM Engine for Posting Schedule

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 18 - Combine All Campaign Assets

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 19 - Send Final Campaign Package to Slack

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.1

Block 20 - Prepare Final Campaign Package JSON

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 21 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 24 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Showing the first 24 of 31 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Generate complete social media campaigns with DALL·E, GPT-4o and Slack approval
Complexity advanced
Nodes 31
Categories Social Media, Multimodal AI
Author Rahul Joshi
Published 12 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11734/11734.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate complete social media campaigns with DALL·E, GPT-4o and Slack approval do?

Description This workflow turns raw product inputs into a complete, launch ready AI generated social media campaign package. It accepts product details via webhook, sanitizes messy fields, gener...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Social Media, Multimodal AI use case.