Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack
Workflow preview
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Important notice
This workflow is provided as-is. Please review and test before using in production.
Overview
Introduction
Exams create significant stress for students. This workflow automates syllabus analysis and predicts exam trends using AI, helping educators and students better prepare for GCE 'O' Level Mathematics in Singapore.
How It Works
Trigger → Fetch Syllabus → Extract & Prepare Data → Load History → AI Analyze → Parse → Format → Convert → Publish → Notify
Workflow Template
Manual Trigger → Fetch O-Level Math Syllabus → Extract Syllabus Text → Prepare Analysis Data → Load Historical Context → AI Analysis Agent → Parse AI Output → Format Report → Convert to HTML → Publish to WordPress → Send Slack Summary
Data Collection & AI Processing
HTTP retrieves O-Level Math syllabus from SEAB and extracts text. Loads 3-5 years exam history. OpenRouter compares syllabus vs trends, predicts topics with confidence scores.
Report Generation & Publishing
Formats AI insights to Markdown (topics, trends, recommendations), converts to HTML. Auto-publishes to WordPress and sends Slack summary with report link.
Workflow Steps
- Fetch & extract syllabus from SEAB site
- Load historical exam content
- AI analyzes syllabus + trends via OpenRouter model
- Parse and format AI output to Markdown/HTML
- Auto-publish report to WordPress and Slack
Setup Instructions
- Connect HTTP node to SEAB syllabus URL
- Configure OpenRouter AI model with API key
- Set WordPress and Slack credentials for publishing
Prerequisites
OpenRouter account, WordPress API access, Slack webhook, SEAB syllabus link.
Use Cases
Predict 2025 GCE Math topics, generate AI insights, publish summaries for educators.
Customization
Adapt for other subjects or boards by changing syllabus source and analysis prompt.
Benefits
Enables fast, data-driven exam forecasting and automated report publication.