AI Editorial Planner & Blog Automation
An AI-assisted editorial workflow with topic clusters, quality gates, duplicate protection, image handling, and manual publishing control.
Project overview
What this project is
The system uses AI as an assisted production layer inside explicit editorial controls. Topic history, article type, cluster relationships, quality scores, generation status, and image status remain visible to the admin team.
The Challenge
Editorial WorkflowRegular technical publishing requires a reliable way to avoid repeated topics, separate deep pillar content from focused supporting content, and stop weak drafts from reaching the public site.
Project Goals
My role
What I handled
Workflow design, AI integration, validation logic, editorial safeguards, and admin experience.
Key features
Core functionality
Cluster-aware queue
Pillar and supporting topics share one queue with explicit order and Used history.
Article-type standards
Pillar and supporting drafts receive different depth, structure, and image directions.
Quality gates
Word count, headings, SEO fields, required sections, and AI editorial scoring are checked before save.
Duplicate protection
Exact slugs and close topic overlap are checked against existing content.
Human approval
Passing drafts are saved as Pending and are not automatically published.
Pages / modules
What is included
Editorial Topic Planner
Maintains pillar and supporting topics with clear queue statuses and permanent Used history.
Cluster Queue
Selects connected pillar and supporting topics in the intended editorial order.
Draft Generator
Creates article drafts using separate depth and structure rules for each article type.
Quality Critic
Checks structure, SEO fields, editorial quality, tone, and required article elements.
Duplicate Checker
Compares new topics and drafts with existing content before accepting them.
Image Workflow
Coordinates topic-aware image prompts, review, retry, and manual upload fallback.
Pending Review
Keeps accepted drafts pending until an administrator reviews and publishes them.
Technologies
Stack used
frontend
backend
database
tools
Screenshots
Project gallery
Development process
How it was built
Topic planning
Prepare duplicate-checked pillar clusters and focused supporting topics.
Controlled drafting
Generate content using requirements matched to its article type.
Quality review
Apply deterministic checks and a separate editorial score before acceptance.
Admin handoff
Save accepted drafts and their quality data for manual review.
Challenges & solutions
Case-study decisions
Preventing topic repetition
Solution
Compare topic fingerprints and generated drafts with existing titles, summaries, categories, tags, and focus keywords.
Balancing automation and control
Solution
Keep successful output in Pending status and preserve failure, quality, topic, and image states for review.
Results / impact
Practical outcome
Traceable topic usage
A topic moves to Used only after its linked blog is successfully saved.
Separated content depth
Pillar and supporting articles follow distinct structural and editorial requirements.
Protected publication
Generation remains separate from the final public publishing decision.
Related services
Services connected to this work
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API Integration
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