Most people think AI content is “slop” but if your result of AI is not good then you’re just not good at using it.

We built an agent system to research, draft, edit, and post content autonomously in one system. This is how it works:

Agent 1 does SEO research using the crawled sitemap and data from the dataforSEO api to come up with content ideas based on ranking gaps. (GPT 5)
Agent 2 creates the structure outlines, focus keywords, content length, etc (GPT 5)
Agent 3 writes the content (Sonnet 3.5)
Agent 4 proofs and grades the content (Opus 4.5)
Agent 3 makes revisions (Sonnet 3.5)
Agent 4 approves content when grading is high enough (Opus 4.5)

The approved content gets posted automatically to WordPress through REST API via plugin we made and install on every client site.

Every blog posted goes into our tracking and gets indexing data right from GSC and ranking data from dataforseo API that updates weekly.

The big unlock to get it to work was to organize the context between all the agents so they are actually working together and not starting over every time. - Content specific context - Client specific context - General context for all clients

Better context = better result.

We built this all custom in our own platform built in Next.js. But you can do this same thing with N8N or Make.

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AI content machine, 100% autonomous.

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