5 AI Automation Workflows That Save Me 10+ Hours Per Week

I used to spend hours doing repetitive AI tasks manually: copying text into ChatGPT, formatting the output, pasting it into Notion, updating a spreadsheet. Now I run 5 automated workflows that handle this end-to-end. Here's the exact setup. The Stack n8n (self-hosted automation) — the workflow engine OpenAI API / Anthropic API — the AI layer Notion API — where everything lands Webhooks — triggers from email, forms, Slack Total cost: ~$5/month in API calls. Everything else is self-hosted. Workflow 1: Auto-Research Briefing Trigger: New row in Notion "Research Queue" database What it does: Takes the topic from Notion Sends it to GPT-4 with a structured research prompt Returns: 5-bullet summary, 3 sources, key takeaways Updates the Notion row with the research Time saved: ~45 min/week (I queue 3-5 topics per week) // Simplified flow Notion Trigger → OpenAI Node → Notion Update The key is the system prompt: "Research this topic. Return exactly 5 bullets, 3 credible sources with URLs, and o