Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow 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' Lev...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.extractfromfile, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.markdown, n8n-nodes-base.html, n8n-nodes-base.wordpress

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack
Workflow name: Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Manual Trigger

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - Fetch O-Level Math Syllabus

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 3 - Extract Syllabus Text

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 4 - Prepare Analysis Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - Load Historical Context

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - AI Analysis Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 7 - Parse AI Output

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 8 - Format Report

Type / Role: n8n-nodes-base.markdown - markdown
Config choices: Version 1

Block 9 - Convert to HTML

Type / Role: n8n-nodes-base.html - html
Config choices: Version 1.2

Block 10 - Publish to WordPress

Type / Role: n8n-nodes-base.wordpress - wordpress
Config choices: Version 1

Block 11 - Send Slack Summary

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.2

Block 12 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 13 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack
Complexity	intermediate
Nodes	14
Categories	Document Extraction, AI Summarization
Author	Cheng Siong Chin
Published	31 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10396/10396.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.httprequest n8n-nodes-base.extractfromfile n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent n8n-nodes-base.markdown n8n-nodes-base.html n8n-nodes-base.wordpress

Complexity

intermediate

Published 31 Oct 2025

Likes 0

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Install path: /data/workflows/10396/10396.json

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Analyze & publish GCE O-Level Math predictions with Perplexity AI to WordPress & Slack

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Introduction

How It Works

Workflow Template

Data Collection & AI Processing

Report Generation & Publishing

Workflow Steps

Setup Instructions

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Manual Trigger

Block 2 - Fetch O-Level Math Syllabus

Block 3 - Extract Syllabus Text

Block 4 - Prepare Analysis Data

Block 5 - Load Historical Context

Block 6 - AI Analysis Agent

Block 7 - Parse AI Output

Block 8 - Format Report

Block 9 - Convert to HTML

Block 10 - Publish to WordPress

Block 11 - Send Slack Summary

Block 12 - OpenRouter Chat Model

Block 13 - Sticky Note

Block 14 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions