Content pipelines with quality gates
AI content at scale is easy; AI content you’d put your name on is engineering. We build pipelines with research, generation, QA gates, and publishing — proven at 1,000 posts/day capacity.
What you get
- End-to-end: research → draft → QA gates → publish → measure
- Human review where it matters, automation everywhere else
- SEO-aware output: structure, metadata, internal linking
- Multi-platform publishing: CMS, social, newsletters
- Operator dashboard — under 5 minutes of human time per 100 posts
You walk away with
Running content pipeline
Included in every engagement — ownership transfers on delivery.
QA gate configuration
Included in every engagement — ownership transfers on delivery.
Operator dashboard + playbook
Included in every engagement — ownership transfers on delivery.
Questions, answered
Does AI content still rank in search?
Quality ranks; slop doesn’t. Pipelines with real research inputs, editorial QA gates, and genuine information gain perform — our editorial network client hit 30k+ visitors in the first 14 days.
How is quality controlled at volume?
Layered QA gates: automated checks for structure, facts, and duplication, plus human review queues for the calls that need judgment. You set the bar; the pipeline enforces it.
Which platforms can it publish to?
Any CMS with an API — WordPress, Storyblok, Sanity, Ghost — plus social channels and email. Publishing cadence and routing are fully configurable.