Source intake and relevance scoring
The platform fetches and stores news articles, filters sources, scores relevance, deduplicates stories, and gives the team a cleaner pool of candidate content before anything becomes a draft.
Case study
News to reviewed publishing workflow
Turning property news, market updates, and source content into reviewed articles, branded social assets, carousels, translations, and scheduled publishing workflows.
Client
Private real estate client
Status
Private client build
Category
AI Workflow Systems
Timeline
2026
A real estate brand needed a way to keep up with market news, property updates, and editorial opportunities without turning the team into a manual content factory. The system had to collect relevant source material, decide what was worth using, create content in multiple formats, preserve review control, and support publishing to website and social channels.
We built an internal operations platform that connects news intake, AI scoring, article writing, branded asset generation, approval workflows, scheduled publishing, and audit visibility into one controlled dashboard.
Product context
The goal was not to generate isolated posts. The platform needed to support a complete content operation: source intake, AI filtering, draft creation, visual generation, human review, publishing control, and operational visibility.
Content teams often lose time moving between news sources, draft documents, design tools, translation workflows, and publishing dashboards. For this client, the problem was not only speed. The workflow also needed relevance filtering, brand-safe output, editable drafts, approval before publishing, and a reliable way to run long AI jobs without blocking the user interface.
We shaped the platform around one operational path: find useful source material, generate useful drafts, let the team review and edit, then publish through controlled channels.
The platform fetches and stores news articles, filters sources, scores relevance, deduplicates stories, and gives the team a cleaner pool of candidate content before anything becomes a draft.
The system can generate long-form articles, social captions, platform-specific copy, branded images, stories, and carousels from approved source material.
Generated content moves through dashboard review states so the team can edit, approve, reject, regenerate, schedule, or publish without giving automation uncontrolled access.
Long-running work such as article generation, carousel rendering, translation, image processing, scheduled publishing, and source scraping runs through worker queues instead of blocking the main application.
The client received an internal content operations system that reduces repeated manual work while preserving review and publishing control.
Instead of moving from source websites to documents, design tools, translation tools, and publishing dashboards, the team can manage the workflow from one product surface with background automation doing the heavy work.
3x daily
automated content pipeline schedule for recurring news and post generation
Multi-format
feed posts, story assets, carousels, long-form articles, and translations
Review-first
approval, rejection, editing, regeneration, scheduling, and publish states
Worker-backed
queues for generation, scraping, rendering, translation, and publishing
Client feedback
“They brought structure to a workflow that had many moving parts. The process was clear, the implementation was dependable, and the final system was easier to operate than what we had before.”
Name withheld
Founder, Private Real Estate Product
The page stays outcome-led, but the proof is in the product decisions underneath: what we protected, what we simplified, and what became easier for the client to operate.
The product changed content creation from a scattered manual process into a repeatable workflow with source intake, generation, review, and publishing steps.
The system was designed around draft states, approvals, editing, and manual publishing controls so AI could assist without bypassing human judgment.
Heavy jobs run asynchronously through workers, which keeps the dashboard responsive and makes scheduled operations more reliable.
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