This article provides a complete, practical walkthrough of the Wait Code Automate Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Advanced setup in 1-2 hours. One‑time purchase: €69.

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

   Sure! Here's the full write-up you requested based on the n8n workflow you've provided:
   
   ---
   
   📝 Title:
   How to Build an AI-Powered Automated TikTok/YouTube Shorts Generator with n8n, OpenAI, PiAPI, and Creatomate
   
   🔍 Meta Description:
   Learn how to create an AI-driven workflow using n8n to automatically generate short-form videos (Reels, Shorts, TikToks) with OpenAI, PiAPI (Flux & Kling), ElevenLabs, and Creatomate. Ideal for resume and job hunting content creators.
   
   🔑 Keywords:
   AI video generator, TikTok automation, n8n workflow, OpenAI video script, Creatomate tutorial, ElevenLabs voiceover, PiAPI Flux, Kling video, resume POV video, viral content automation, short-form business video, TikTok influencer video automation
   
   🔌 Third-Party APIs Used:
   - OpenAI (Language models: GPT-4o-mini, o3-mini)
   - PiAPI (Flux for image generation, Kling for video generation)
   - ElevenLabs (Text-to-Speech)
   - Creatomate (Video rendering and template management)
   - Google Sheets API (Idea and metadata storage)
   - Google Drive API (File upload and sharing)
   - Discord Webhook (Notification system)
   
   ---
   
   📽️ Article:
   
   In the age of short-form content dominance, creators and marketers are constantly seeking automation to produce captivating viral videos rapidly. What if you could completely automate the creation of TikTok-style videos—scripted, voiced-over, and edited—from just a simple concept in a Google Sheet? Enter the “AI Automated TikTok/YouTube Shorts/Reels Generator,” a powerful n8n workflow that combines the forces of OpenAI, PiAPI (Flux + Kling), ElevenLabs, Creatomate, and Google Cloud.
   
   This end-to-end system is built to generate first-person POV, cinematic-style micro-videos themed around job hunting, resume writing, and productivity—perfect for creators focusing on career content or for resume-building SaaS platforms.
   
   Let’s break down how this workflow works, step-by-step.
   
   📥 1. Input Ideas via Google Sheets
   The process kicks off each day via a schedule trigger, pulling fresh video ideas from a Google Sheet. These ideas typically focus on job-seeking or professional productivity scenarios (like "updating LinkedIn" or "handing over a resume"). The sheet also includes metadata, such as the ideal environment prompt (e.g., "cluttered apartment" or "sleek co-working hub").
   
   🧠 2. Generate Captions with OpenAI
   Using OpenAI’s GPT-4o-mini, the workflow generates 5 short captions in a “Problem > Action > Reward” structure. These are stylized like unhinged, entertaining TikTok hooks, blending humor, relatability, and viral energy—Andrew Tate meets Gary Vee, with a sprinkle of Charlie Sheen. Each caption becomes a “scene” in the final video.
   
   🧾 3. Expand Captions into Cinematic Visual Prompts
   Another OpenAI model (o3-mini) converts each caption into a detailed text-to-image prompt using a custom-engineered format. Instructions specify first-person "GoPro" perspectives with sensory-rich environments—ideal input for the Flux image generation model via PiAPI.
   
   🖼️ 4. Generate Realistic Images with Flux
   Using the Flux (Qubico/flux1-dev) model on PiAPI, each prompt is converted into mobile-optimized vertical images (540x960). These images depict dynamic POV scenarios like hands clicking a mouse or nervously handing over a resume.
   
   🎞️ 5. Convert Images to Video with Kling
   Next, these images are fed into the Kling model (also powered by PiAPI) to create 5-second videos with a simulated zoom effect. The process includes retry logic and wait time to handle API queueing, ensuring stability through fail-check loops.
   
   📜 6. Write Script & Voice It Over
   With the captions and visuals set, GPT-4o-mini also writes a snappy 15-second script—one line per caption—crafted in the voice of a bold, viral TikTok influencer. The script is then sent to ElevenLabs to generate voiceovers. These are uploaded to a Google Drive folder with public sharing enabled.
   
   🎙️ 7. Assemble Audio, Video, Text in Creatomate
   Once video clips and audio are ready, they’re combined using a Creatomate video template. The workflow dynamically injects videos, captions, and voiceovers into pre-defined fields of the template, then renders the complete short-form video.
   
   📤 8. Export, Share & Store
   The final MP4 is downloaded, uploaded to Google Drive, shared publicly, and linked back to the original Google Sheet, marking the idea as “complete.” A Discord notification is sent to alert the creator or team that the content is ready for review or publishing.
   
   💸 Cost Tracking Built-In
   Custom code nodes in n8n also calculate API token usage and raw generation costs, providing transparency and helping creators stay within budget. Based on the models used, generating one complete video costs approximately:
   - Flux image: $0.015
   - Kling video: $0.46
   - Creatomate render: $0.38
   - Voiceover with ElevenLabs: Minimal (depending on plan)
   
   🛠️ Tools & Services Used
   Here’s a quick recap of the integrated services:
   - OpenAI: Text prompt and script generation
   - PiAPI: Image (Flux) and video (Kling) generation
   - ElevenLabs: Voice synthesis from script
   - Creatomate: Video assembly and rendering
   - Google Sheets: Idea input and metadata
   - Google Drive: Storage and sharing
   - Discord: Completion notifications
   
   🎯 Use Cases
   This AI content engine is perfect for:
   - Career coaches building entertaining video resumes
   - TikTok influencers in productivity or career niches
   - HR tech startups looking to auto-generate brand video content
   - Resume writing services wanting spicy viral marketing
   
   🚀 Final Thoughts
   This n8n-powered system is more than an automation; it’s a full-blown AI content studio deployed on autopilot. It showcases what's possible when no-code tools meet multimodal AI APIs. Whether you're a solopreneur or agency, this stack brings high-end video production to your fingertips, one Google Sheet row at a time.
   
   —
   
   Let the machines do the hustling—so you can go viral without even touching your editing software.
   
   ---
   
   If you'd like, I can also generate a ready-to-publish Markdown or HTML version of this article next!

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.