I am building a single, streamlined hub that lets large-language-model agents handle every piece of daily content for my brand. The goal is simple: generate up to ten fresh, SEO-ready articles each day, publish them automatically to my WordPress site (using the Yoast SEO plugin for metadata and optimization), repurpose key snippets as social posts, and round everything off with a branded newsletter sent through my mailing API—all from one interface.
Here’s how I picture the workflow:
• The LLM receives a content brief or pulls topics from a queue.
• It drafts, edits, and formats the article to meet Yoast SEO standards.
• Through the WordPress REST API the piece is published, tagged, and scheduled.
• At publish-time, the same core ideas are condensed into Facebook, LinkedIn, and Twitter captions, then queued or posted instantly.
• Finally, the day’s highlights are compiled into a newsletter template and dispatched via the chosen mailing service.
What I need from you
1. Technical design and setup of the LLM/agent stack (OpenAI, Hugging Face, LangChain, or similar—your recommendation).
2. Robust integrations for WordPress, social platforms, and the mailing API so everything triggers without human intervention.
3. A lightweight dashboard (web-based is fine) where I can tweak article length, tone, brand keywords, and posting frequency.
4. Logging, error handling, and simple analytics so I can see what went out, when, and how it performed.
5. Clear documentation so I can maintain or expand the system.
Acceptance criteria
• Ten unique, publish-ready articles successfully auto-posted in a single test run.
• Social posts generated and delivered to at least two connected profiles.
• Newsletter compiled from that same content and sent through the mailing API.
• All posts show green lights in Yoast SEO.
If you’ve built similar multi-channel AI publishing pipelines—or have fresh ideas on making this even more seamless—I’d love to see your approach and timeline.
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