Daily Article

Automate article writing by fetching current trends and 2-3 credible web sources to compile a 600-800 word publication-ready article with citations in Markdown. It auto-detects topics from memory context and WebFetch, reducing manual research time.

Yes, you can generate publication-ready articles with citations automatically. The workflow drafts a 600-800 word Markdown file featuring a compelling title, 3-4 sections, and citations gathered from 2-3 credible articles retrieved via WebFetch.

Memory context enables trend analysis by storing recent topics in a memory file, allowing the workflow to auto-detect current developments and select relevant subjects. It reads from memory context to inform the article drafting process and maintain topic continuity.

The best way to save and log drafted articles is automatically saving to articles/${today}.md, updating memory/MEMORY.md, and logging activities to memory/logs/${today}.md. This lifecycle integration ensures publication-ready content is tracked and notifications are sent via ./notify.

Yes, you need WebFetch to compile a 600-800 word article because it retrieves 2-3 credible articles to gather facts and quotes. This source curation mechanism ensures the publication-ready output contains verified information and proper citations.

A limitation of auto-detecting trends for publication-ready articles is the dependency on existing memory context for recent topics; without sufficient memory data, you must manually provide a topic. Additionally, source curation is limited to 2-3 credible articles per draft.