"Building an AI Content Engine (Like This One)"
"How we built an automated blog engine that researches, writes, and publishes articles using AI — without spinning or plagiarism."
The Goal
Generate 3 quality articles per day, automatically, without resorting to content spinning or plagiarism. Each article should be:
- Original (not a rewrite)
- Well-researched
- SEO-optimized
- Actually useful
The Pipeline
Step 1: Research
Every morning, an AI agent searches for trending topics using:
- Brave Search API
- Tavily API for deep research
- Google Trends data
Step 2: Outline Generation
The agent creates an article outline with:
- Main argument/takeaway
- 3-5 supporting sections
- Key questions to answer
Step 3: Writing
A language model generates the first draft, referencing:
- Your personal expertise (trading, blockchain, automation)
- Real data from your projects
- Industry statistics
Step 4: Quality Gate
Each article is scored on:
- Originality (>80% required)
- Readability (>60 Flesch score)
- Keyword density (2-3% target)
Step 5: Publication
The article is formatted, SEO meta tags are added, and it's published to the blog with AdSense code injected.
Why This Works
Google's Helpful Content Update rewards:
- Original insights
- First-hand expertise
- Well-structured content
Our engine doesn't spin — it generates. And every article is infused with the actual experience from our lab projects.
Sources
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