This article provides a complete, practical walkthrough of the Wait Splitout Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   From Blog to Scroll-Stopping Visual: Automating 9:16 Video Imagery with n8n, OpenAI & Leonardo.ai
   
   Meta Description:
   Discover how to turn blog content into attention-grabbing 9:16 vertical visuals with an advanced AI-native n8n workflow. Learn how OpenAI, Leonardo.ai, and Airtable work together to generate video scripts, prompts, and branded assets—automatically.
   
   Keywords:
   n8n workflow automation, AI video content creation, OpenAI GPT-4o, Leonardo.ai, Airtable automation, vertical video generator, 9:16 content automation, AI image prompt generator, video script automation, content repurposing AI
   
   Article:
   
   Automating Visual Storytelling: A Deep Dive into the n8n-Based 9:16 Content Imagery Generator
   
   In the age of TikTok, Instagram Reels, and YouTube Shorts, vertical video content reigns supreme. But producing eye-catching, scroll-stopping video assets from scratch demands significant creative resources and time. What if a blog post could automatically transform into a set of branded visuals and scripts tailored for 9:16 storytelling—without lifting a creative finger?
   
   Enter the “Content to 9:16 Aspect Image Generator v1,” an AI-powered n8n workflow architected by AlexK1919, a builder of AI-native automation experiences. By combining the powers of OpenAI's GPT-4o, Leonardo.ai's generation models, Airtable for structured content, and LangChain tools, this no-code/low-code automation delivers complete video content blueprints with visual assets—all from a single written blog.
   
   Here’s how this sophisticated system works—and how it can revolutionize content repurposing for marketers, creators, and teams alike.
   
   Step 1: Import Brand Guidelines & Filter for Relevance
   
   Brand consistency is key. This workflow begins by integrating directly with Airtable to retrieve all active branding guidelines—including tone, color palette, audience, voice, and what to avoid. These details are then injected into every downstream creative decision.
   
   Next, the system pulls related SEO keywords and associated content, filtering only those that mention "AI automation.” This ensures your AI-generated visuals are mission-aligned and niche-specific.
   
   Step 2: Convert Blog Content into Short-Form Video Scripts Using AI
   
   Here’s where the magic begins. Using OpenAI’s GPT-4o-mini model via n8n’s LangChain integration, the workflow generates a concise short-form video script broken into four scenes—perfect for TikTok or YouTube Shorts. Each scene comes with an accompanying image prompt, carefully tailored to reflect the tone and topic of the original blog.
   
   Bonus: The AI also provides a separate image prompt specifically for the video’s thumbnail, increasing click-through potential.
   
   Step 3: Next-Level Prompt Refinement & 9:16 Image Generation with Leonardo.ai
   
   Image generation doesn’t stop at basic prompts. The workflow sends each thumbnail and scene prompt to Leonardo.ai’s Prompt Improvement API, optimizing it with additional design principles—like the rule of thirds, use of dynamic lighting, and balanced composition. These prompts are then submitted to Leonardo’s advanced Phoenix 1.0 model, generating ultra-detailed assets at a perfect 768×1376 resolution, ideal for vertical video platforms.
   
   Using a timed delay node, the workflow waits for the image generation process to complete, retrieves the final visual, and prepares it for asset storage.
   
   Step 4: Organize and Archive Visual Assets in Airtable
   
   After images are generated and fetched from Leonardo.ai, they’re automatically stored in an Airtable “Assets” table. Each is labeled with metadata such as “Scene” or “Thumbnail,” tied to the source content, and ready for integration into final video production workflows.
   
   This step ensures all media assets are clearly organized, reusable, and searchable—ideal for cross-channel content syndication or repurposing.
   
   Key Benefits for Teams, Creators & Marketers
   
   - Lightning-fast content repurposing. Turn a published blog into multiple visual scenes and a thumbnail—automatically.
   - Brand-aligned visual assets. Pulls image prompts and creative decisions from pre-defined Airtable brand rules.
   - Fresher AI prompts. Prompts are enhanced using Leonardo’s Prompt Improvement feature to generate high-quality visuals with the latest Phoenix 1.0 model.
   - SEO-enabled creativity. Uses keyword-driven logic to ensure assets match trending content needs.
   - Airtable-centric organization. All outputs are mapped to a content calendar or asset library for easy handoff.
   
   Third-Party Tools Used in the Workflow
   
   1. OpenAI API (via LangChain):
      - For generating the video script, prompts, and thumbnails using GPT-4o-mini.
   
   2. Leonardo.ai API:
      - Prompt improvement endpoint (POST /prompt/improve)
      - Image generation endpoint (POST /generations)
      - Generation status endpoint (GET /generations/:generationId)
   
   3. Airtable API:
      - For fetching SEO keywords, brand guidelines, blog content, and storing generated asset data.
   
   4. LangChain n8n Nodes:
      - Powered the OpenAI and Wikipedia integrations via AI tools.
   
   5. Wikipedia via LangChain Tool:
      - Optional background context for better video scripting.
   
   The Takeaway
   
   The “Content to 9:16 Aspect Image Generator v1” is more than just a workflow—it’s a symphony of AI tools harmonizing to transform long-form content into compelling, platform-ready media. Whether you're building a high-quality content library, scaling social presence, or innovating in video marketing, this system saves time while boosting creative output.
   
   To learn more and explore additional templates, visit AlexK1919’s n8n Creator page or his YouTube channel for deep dives into AI-native automation.
   
   Stay smart. Stay scalable. Stay automated.
   
   —
   
   Learn more:
   🧩 Workflow Overview & Templates → https://n8n.io/creators/alexk1919  
   🎥 Video Walkthroughs → https://www.youtube.com/@alexk1919_  
   📘 More by AlexK1919 → https://beacons.ai/alexk1919

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.