This post documents a complete intake & validation pipeline built with n8n. Core objective: Ensure that only valid, unique, and file-available YouTube upload jobs enter the system. What’s covered - Google Sheets date-based intake - Data sanitization & validation - Google Drive file existence check - Merge behavior (Combine by Position) - Idempotency key strategy - MySQL schema & duplicate prevention - Why this workflow is safe to run repeatedly Included files - ✅ Workflow JSON - ✅ MySQL table schema - ✅ Installation guide - ✅ Sample input data This is designed as a foundation workflow — the actual YouTube upload worker comes next. If you’re learning n8n for real-world systems (not demos), this pattern is worth mastering.

If your workflow starts with human input, On form submission is one of the cleanest triggers in n8n. You define: - exactly what data is allowed in - field names that become your JSON contract - validation before any logic runs No webhooks. No guessing payloads. Just a controlled entry point. My rule of thumb: 👉 Clean inputs first. Logic later. If the JSON looks good here, the rest of the workflow becomes much easier to reason about.

Webhook Trigger: how workflows really get triggered by the outside world After Schedule Triggers, the next foundation is Webhook. A Webhook answers a different question: “What event starts this workflow?” In this manual, I covered: - What a Webhook Trigger actually does (and what it doesn’t) - GET webhook behavior (browser, curl, external tools) - Test URL vs Production URL - What n8n really receives as input - Verifying execution using curl No advanced security yet. No overengineering. Just understanding how events enter n8n correctly. If you understand Webhooks, integrations stop feeling “magical” and start feeling predictable.

Schedule Trigger: the real starting point of automation If your workflow doesn’t start automatically, it’s not automation yet. Today I walked through: - What a Schedule Trigger actually outputs - How to configure a simple daily run (no advanced rules yet) - Why the trigger output is just time metadata, not data fetching We’ll keep it simple: ➡️ one trigger ➡️ one run per day ➡️ clean data flow Advanced scheduling comes later. First, understand the basics and make it work.

You can use ChatGPT to deliver a Daily AI Technical News Brief with the following strict rules: Prompt starts here... Act as a senior AI technology journalist and technical research analyst. Your task is to deliver a DAILY AI TECHNICAL NEWS BRIEF with the following strict rules: 1. News Freshness & Uniqueness - Select news published within the last 24–72 hours only. - Do NOT repeat any topic, company announcement, model release, or research paper that appeared in previous daily briefs. - If you are unsure whether a topic was previously covered, exclude it. 2. Interest & Impact Filter - Prioritize items that have HIGH community interest or impact, such as: • New AI model releases or major upgrades • Breakthrough research papers (LLMs, multimodal, agents, reasoning, efficiency) • Major announcements from OpenAI, Google DeepMind, Anthropic, Meta, Microsoft, NVIDIA, or top AI labs • Important AI infrastructure, tooling, or developer-focused updates • Meaningful AI policy or regulation changes affecting builders - Exclude marketing fluff, opinion pieces, or low-signal content. 3. Output Structure (MANDATORY) - Provide EXACTLY 5 items. - For each item, include: a) Headline (clear, technical, neutral) b) 2–3 sentence summary explaining *why it matters* c) Source name d) Direct clickable URL to the original source 4. Source Quality Rules - Use only reputable sources (e.g., arXiv, official company blogs, GitHub, Nature, Science, major tech media). - Do NOT fabricate links. If a valid link cannot be verified, exclude the item. 5. Tone & Style - Technical, concise, and factual. - No hype language. - Assume the reader is an AI engineer, founder, or technical decision-maker. 6. Final Check (before responding) - Confirm internally that none of the news items are duplicated from prior outputs. - Confirm all links are valid and publicly accessible. Return the final output in clean Markdown format.