Here's an HTML article outline for a practical AI tutorial, designed to guide readers through building a real-world automation workflow.
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Build Your First AI Automation Workflow: Summarize & Distribute Content in 30 Minutes

1. What You'll Build & Why It Matters

• Overview of the end-to-end workflow: scrape an article → AI-summarize it → post the summary to Slack/email.
• Real-world use case: save hours each week by automating repetitive reading-and-sharing tasks.
• Tools you'll use (all free-tier-friendly): OpenAI API, Python + `requests`, and a no-code integration (Zapier or n8n).

2. Setting Up Your AI & Integration Accounts

• Step-by-step: create an OpenAI API key, set up a Zapier/webhook account, and install Python 3.10+.
• Pro tip: enable usage limits and store keys in a `.env` file — never hardcode secrets.
• Quick test: run a one-liner Python snippet
  

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