AUTOMATION CASE STUDIES

Look inside the systems.

Documented builds and system architectures across n8n, Cloudflare and research operations. Open a case study to examine the inputs, the pipeline and the implementation choices.

N8N WORKFLOW CASE STUDIES

Find a useful reference.

Node counts describe the exported workflows. Each case study provides the context for the build.

115

workflow nodes

An Autonomous AI Financial Blogger & Newsletter Engine

A 115-node, fully autonomous n8n pipeline that researches, writes, illustrates, and publishes a daily voice-driven financial blog post to Ghost — entirely on self-hosted infrastructure, with zero human input.

234

workflow nodes

An Autonomous AI Avatar Engine for Short-Form Investing Video

A 234-node autonomous n8n pipeline that researches, scripts, voices, animates, and publishes a daily AI-presenter investing video to YouTube and TikTok — entirely on self-hosted infrastructure.

workflow nodes

Evergreen Digital Assets: Dynamic Images & Smart URL Redirects

A compact 19-node n8n workflow that keeps distributed images and links evergreen — fixing their addresses while updating their content on a schedule, so published assets never go stale.

workflow nodes

An AI Social Media Campaign Engine with Human-in-the-Loop Approval

A 63-node n8n workflow that generates on-brand LinkedIn and Facebook campaigns with AI copy and imagery, gates every image through Slack human approval, and schedules posts via Late.

workflow nodes

A Daily F1 Race-Winner Prediction Engine with Confidence-Gated Alerts

A 38-node n8n pipeline that predicts F1 race winners daily — fusing live data, eight driver metrics, RAG over race history, and GPT-4o — with confidence-gated Slack alerts.

244

workflow nodes

A Scalable Sync Architecture for High-Volume CRM Integrations

A modular, 244-node n8n reference architecture for scalable CRM sync workflows — graded trigger, polling, backfill, and error-handling patterns that prevent rate limits, duplicate runs, and silent failures.

workflow nodes

A Weekly AI Research Trend Alerter Powered by Agentic RAG

A 46-node n8n workflow that weekly fetches arXiv AI papers, classifies them with an LLM, stores them in Weaviate, and uses agentic RAG to email a trend digest.

156

workflow nodes

A Modular Viral Content Engine for LinkedIn & X with Human Approval

A 156-node n8n engine that discovers viral ideas, generates on-brand LinkedIn and X posts with AI images, gates them through Telegram approval, and auto-publishes to both platforms.

workflow nodes

A Daily AI Social Content Engine for a Beauty Salon

A 63-node n8n engine that writes daily on-brand beauty-salon posts with matching AI images and auto-publishes them across Telegram, WordPress, X, Facebook, and LinkedIn.

107

workflow nodes

Meeting Transcripts to AI-Generated Client Presentations

A 107-node n8n pipeline that converts a meeting transcript into a personalised, branded Google Slides deck — AI-written content and custom illustrations — tracked end-to-end in Google Sheets.

workflow nodes

Digital Art to Shopify: AI-Generated Product Listings from Images

A 34-node n8n workflow that turns digital art images into SEO-optimized Shopify listings — AI vision analysis plus LLM-generated content — tracked end-to-end in Airtable.

workflow nodes

An AI Virtual Accounting Department for Financial Document Processing

A 77-node n8n workflow that uses Gemini OCR to extract invoices, receipts, and bank statements into Google Sheets — with auto-categorization and a natural-language financial-analysis agent.

CLOUDFLARE BUILDS

Beyond the workflow canvas.

Two views of the work: moving a defined pipeline into Cloudflare, and designing the boundary between the runtimes.

CLOUDFLARE · SYSTEM ARCHITECTURE

A Content-Pipeline Port from n8n to Cloudflare Workflows

A 154-node n8n pipeline mapped into Cloudflare Workers and Workflows, with traceable step coverage, signed ingress, execution controls and test evidence.

View case study

CLOUDFLARE · SYSTEM ARCHITECTURE

HarperFlow: Two Runtimes, One Content System

Explore HarperFlow’s content-system architecture: research, drafting and publishing, with an explicit n8n-to-Cloudflare execution boundary.

View case study

RESEARCH SYSTEMS

Keep the evidence behind the answer.

The value of a research pipeline is being able to inspect how a finding was produced.

AI SEARCH · RESEARCH OPERATIONS

A Repeatable GEO Research Pipeline Across Three AI Engines

A documented AI-search research pipeline: fixed question sets, preserved engine answers, structured datasets and verifiable reports across repeated snapshots.

View case study

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