Streamlined AI Content Pipeline for Efficient Workflow AutomationStreamlined AI Content Pipeline for Efficient Workflow Automation
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
I built a structured AI content pipeline for a company that needed a more reliable way to move from brief → research → outline → draft → QA without depending on manual copy-paste between LLM chat tabs.
The workflow problem was familiar:
The brief changes a little. The voice shifts. The outline starts drifting. The draft loses pieces of the research. QA turns into manually hunting for whatever broke along the way.
So I built a five-stage pipeline:
Brief Interpreter → Research → Outline → Draft → QA
Each stage takes JSON in, performs one defined job, and sends JSON forward.
Voice and style live in config. Prompts are separated from execution. The final output lands in result.json.
This case study walks through the build, the stack, and the reusable pattern behind it: a content ops pipeline designed to support different brand voices, content categories, and workflows without rebuilding the system every time requirements change.
Built solo for a real company use case, with Streamlit for the UI, CLI support for batch runs, and structured JSON handoffs holding the whole thing together.
Emman's avatar
Good work
Bree's avatar
Thank you!
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started