Multi-stage orchestration
Drafting, review, scoring, assembly – each stage with one clear job, orchestrated with n8n or LangGraph.
Agencies & teams · content pipelines
More content.
No quality collapse.
Multi-stage AI pipelines for content or translation – designed, built, documented and handed over to your team, so they keep running after I leave.
One content typeor one language pair per build
Handoverrunbooks, training, a supervised run
Token economicsstrong model only where judgment is needed
/ 01 · Services
What it's about
Plenty of people can build a demo. Far fewer can run it in day-to-day production afterwards – and that's the part that counts.
Quality built in
A scored check stage inside the pipeline that stays consistent across hundreds of pieces – not a quick look at the end.
Run and maintain
Runbooks, training and one supervised production run, so your team runs the pipeline itself. If you want, I re-check it regularly afterwards.
My own example: the 13-agent pipeline behind my book – code and scores public on GitHub
/ 02 · Process
How I work
I'll also tell you when the math says an automation isn't worth building.
- 01Short call.
You tell me how your content gets made today. 15 minutes, free.
- 02Pipeline teardown.
What can be automated, what it costs in tokens, what to leave alone – as a written roadmap.
- 03Fixed-price offer.
Clear scope, fixed price, in writing up front. No hourly billing.
- 04Build.
One pipeline for one content type or one language pair – designed, built and evidenced.
- 05Handover and maintenance.
Your team runs the pipeline itself. If you want, I re-check it regularly.
/ 03 · Contact
Interested? Let's talk.
Write to me or book a free 15-minute call – you'll find every way to reach me in my contact section.