Building an Automated Blog Article Factory with AI

Content marketing needs a constant stream of fresh articles, but writing quality content is time-consuming. I built an automated article factory that uses AI models to generate, validate, and publish blog articles for DailyWatch . Here's the architecture. System Overview [Topic Queue] -> [AI Generator] -> [Validator] -> [Import Queue] -> [Publisher] -> [Live Blog] The pipeline runs as a series of scripts, each handling one stage. Stage 1: Topic Queue Topics are defined in a configuration file with metadata: { "topics" : [ { "slug" : "cryptocurrency" , "keywords" : [ "bitcoin" , "ethereum" , "crypto trading" , "blockchain" ], "tone" : "informative" , "word_count" : [ 800 , 1200 ], "max_articles" : 10 }, { "slug" : "web-development" , "keywords" : [ "PHP" , "JavaScript" , "web performance" , "SEO" ], "tone" : "technical" , "word_count" : [ 600 , 1000 ], "max_articles" : 5 } ] } Stage 2: AI Generation The generator script sends prompts to multiple AI models and collects responses: import