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.