I need a solid N8N flow that taps into Google Opal to turn incoming prompts into polished, formal-tone blog articles and matching images—all without manual touch-points once it is live. The core objective is content and image generation, not the usual data-sync or email triggers, so please centre the logic around that creative pipeline. Here’s what I have in mind: a trigger (HTTP or webhook) receives a topic, the workflow calls Opal for the article draft, runs any refinement steps you recommend, then spins up a complementary image before saving both assets to my Google Drive and returning the URLs via the response node. I’ll rely on your guidance for the most reliable text-and-image model configuration inside Opal, as well as any error handling you’d typically add for rate limits or failed generations. Deliverables • A fully-commented N8N workflow file ready to import • A short README explaining each step, required credentials, and how to redeploy on another server • One live test showing the flow produce a formal article and image from a sample topic Acceptance criteria • Article length 800–1,000 words, formal voice, no plagiarism flags • Image at least 1200 px wide, theme clearly matching the article subject • Workflow completes under 60 seconds per request on standard hardware and retries gracefully on any 5xx error If any extra nodes or external modules are needed, let me know up front so I can provision them.