automation

An automated blog pipeline

An automated research-and-draft pipeline with a two-pass LLM review before anything publishes, cutting content creation time by 70%.

70% content creation time cut
2-pass LLM review before publish

Publishing consistently is the part of technical writing that fails first — research and drafting eat hours that production work always wins.

Automation could not mean spam: posts needed trending relevance, deduplication against everything already published, and review before anything shipped.

I built a GitHub Actions pipeline that pulled trending topics from developer communities, drafted SEO-optimized posts with LLMs, and ran a two-pass review with duplicate detection before publishing.

Content creation time dropped by 70% and the site gained a steady stream of fresh, relevant posts.

Tradeoffs
  • Every draft went through a second review pass and duplicate detection — cadence was never worth publishing junk.
  • Trending-topic sourcing keeps posts relevant but biases toward what is already being talked about.
GitHub Actions LLM SEO Automation

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