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News to reviewed publishing workflow

AI Real Estate Content Operations Platform

Turning property news, market updates, and source content into reviewed articles, branded social assets, carousels, translations, and scheduled publishing workflows.

AI scoringArticle generationSocial assetsReview workflowWorker queues

Client

Private real estate client

Status

Private client build

Category

AI Workflow Systems

Timeline

2026

Overview

A content workflow built around review, control, and repeatable publishing

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.

Challenge

The challenge

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.

What we built

What we built

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.

01

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.

02

AI article and social content generation

The system can generate long-form articles, social captions, platform-specific copy, branded images, stories, and carousels from approved source material.

03

Human review before publishing

Generated content moves through dashboard review states so the team can edit, approve, reject, regenerate, schedule, or publish without giving automation uncontrolled access.

04

Background workers for heavy jobs

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.

Result

The result

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

Execution logic

Why this mattered

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.

Repeated content work became structured

The product changed content creation from a scattered manual process into a repeatable workflow with source intake, generation, review, and publishing steps.

Automation stayed under control

The system was designed around draft states, approvals, editing, and manual publishing controls so AI could assist without bypassing human judgment.

The workflow could run in the background

Heavy jobs run asynchronously through workers, which keeps the dashboard responsive and makes scheduled operations more reliable.

Start with context

Have a product, workflow, or system that needs a stronger next step?

Bring the rough context, product blocker, or delivery goal. We will help shape the practical next step before the work gets heavier.

A useful product conversation starts with the real context.

You do not need a perfect brief. A current product situation, blocker, target outcome, or rough workflow is enough to begin.

What to share

Current product stage, what is stuck, timeline, and what a successful next step should look like.