From keyword brief to published post in one agent loop

Three mechanisms prevent generic output. First, every draft is grounded in SERP research specific to the target keyword, so the structure reflects what actually ranks, not what a generic prompt would produce. Second, the client-specific Skills file enforces brand voice, banned vocabulary, and structural preferences that override the model defaults. Third, the eight-dimension validation engine scans for 200 AI language patterns and rewrites sections that fail authenticity or specificity thresholds.

Unverifiable claims are flagged inline as [VERIFY] with the agent noting what source it would need to confirm the claim. The editor sees a clean draft with explicit verification flags rather than a draft where uncertain facts are presented with false confidence. This is preferable to hallucination and makes the editorial review faster and more targeted.

Yes. We build the brand voice profile from three sources: your existing high-performing content, your brand guide if you have one, and a structured interview with your editor covering specific vocabulary preferences, structural patterns, and what you actively want to avoid. The Skills file encoding this profile is tested against sample content before production begins.

WordPress and Webflow support direct API staging with full metadata population. For Contentful, Sanity, and Prismic, we build the MCP connector during the deployment engagement. Custom headless CMS platforms are assessed during scoping. When direct staging is not available, the agent produces a structured handoff document that a team member can paste in under five minutes.

The agent is not a subject matter expert. For content requiring domain expertise (medical, legal, financial), the pipeline includes an SME review gate before editorial sign-off. The agent handles research, structure, and SEO grounding. The SME reviews for accuracy. The editor reviews for voice. This three-gate model produces quality output in specialized fields without expecting the agent to know things it cannot know.

Based on our production data, editors spend 15-25 minutes per article reviewing agent output at the 85-threshold level. That includes reading for voice, checking [VERIFY] flags, approving the image brief, and clicking publish. A typical editor managing 10 articles per week goes from 25-30 hours of writing and editing to 3-4 hours of review and publishing. The 20+ hours freed go to content strategy, topic research, and editorial direction.