Automate newsletter curation with AI workflows

Running a newsletter is a time-consuming task, with the average creation taking around 3.5 hours due to the intensive process of finding, reading, summarizing articles, and formatting the content. Automating newsletter curation through AI can significantly streamline this process by discovering relevant content from various sources like RSS feeds, social media, and websites, and then summarizing and assembling it into editions. CodeWords is a platform that facilitates this automation by providing a workflow that integrates over 500 tools, uses large language model (LLM)-powered summarization, and conducts web scraping to produce newsletter drafts efficiently, reducing the task to a 15-minute review cycle. The automation process involves four stages: discovering content through web scraping, summarizing articles with LLMs, assembling the content into sections, and delivering the final product through email platforms. While full automation generates a draft, human editorial input remains crucial for maintaining quality, allowing editors to review and adjust the drafts before delivery. This blend of AI efficiency and human oversight ensures consistent, high-quality newsletter delivery, addressing the challenge of maintaining regular publication schedules, which is crucial for reader engagement.

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