TL;DR
- Problem: Content quality reviews are inconsistent and delayed because they depend on manual editorial review
- System: Webhook-triggered AI analysis of new WordPress posts with automated feedback
- Built in: One afternoon
- Replaced: Manual editorial reviews, inconsistent quality checks, delayed feedback cycles
- Best for: Content teams with multiple writers, agencies managing client blogs, and editors who need consistent quality standards
What this workflow does
Automatically review new WordPress posts for quality, SEO, and brand voice compliance.
This guide walks through the exact implementation, step by step.
Why manual content review does not scale
What automated content review needs
How this workflow was built
Internal Demo implemented this system using TinyCommand as the execution layer.
- Webhook trigger
A WordPress webhook fires every time a new post is published or updated. The workflow starts automatically.
- Content extraction
The workflow fetches the full post content, title, meta description, and categories from WordPress via API.
- AI quality review
TinyGPT analyzes the post against defined quality criteria: readability, SEO best practices, brand voice, factual accuracy flags, and structural completeness.
- Feedback delivery
The review results are sent to the author and editor via Slack or email with specific, actionable feedback and a quality score.
The Impact:
- Every published post gets an instant quality review
- Consistent standards across all writers
- Editors focus on strategic feedback, not catching basic issues
- Quality issues caught before readers see them
The entire system was built in a single session.
This workflow also works for
- Agencies reviewing content across multiple client sites
- Internal knowledge base maintenance
- Documentation teams ensuring consistency
- Any team publishing content that needs quality gates
This is a system-first approach, not a tool-first one.
Step-by-step walkthrough
Frequently Asked Questions
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