Quick Answer
100+ n8n workflow templates organized into 5 categories: AI content generation, lead generation, social media automation, SaaS operations, and agentic AI loops. Each workflow lists the integration stack and the production use case. The fastest path from 0 to a working AI automation library.
Quick Answer
The 100+ n8n workflows below cover every high-leverage automation use case in 2026 — AI content, lead qualification, social media, SaaS ops, and agentic loops. Each entry lists the exact integration stack so you can copy or adapt directly. n8n itself is free and open-source; the only cost is the third-party APIs (Claude, OpenAI, etc.) the workflows call.
Why n8n is the 2026 standard for automation
n8n took the developer-adjacent automation crown from Zapier in 2024–2026 because of three differentiators: (1) self-host option eliminates per-task pricing at scale, (2) AI nodes (Claude, OpenAI, Gemini) ship with proper memory + structured-output support, and (3) the workflow visualizer is more powerful than Make.com for chained logic. For any operation running >5,000 automations/month or building AI-heavy workflows, n8n is the cost + capability winner.
AI Content Generation (15 workflows)
LLM-powered drafting, repurposing, and publishing pipelines. The highest-ROI category in 2026 — most operators recoup their n8n + Claude/GPT cost in the first content piece.
- Blog post → Twitter thread → LinkedIn post (1-input, 3-output) — stack: Claude API + Webhook + Twitter + LinkedIn
- YouTube video → SEO blog post draft — stack: YouTube Data API + Whisper + Claude + WordPress
- Daily AI newsletter generator (RSS → digest → email) — stack: RSS feeds + Claude + Resend/Beehiiv
- Long-form article → 10 social posts — stack: Claude + Schedule trigger + Buffer/Make
- Instagram Reel script generator from blog post — stack: Webhook + Claude + Notion
Lead Generation & Qualification (12 workflows)
Inbound lead triage with LLM scoring, enrichment, and CRM sync. Saves 10+ hours/week for sales teams.
- Form submission → LLM-scored lead → HubSpot tag — stack: Webhook + Claude + HubSpot
- Email triage with intent classification — stack: Gmail trigger + Claude + Slack alert
- LinkedIn profile enrichment + scoring — stack: Apollo/Clearbit + Claude + Sheets
- Reverse-IP visitor → Slack alert with company info — stack: Tracking pixel + Clearbit + Slack
- Calendly booking → instant LLM-personalized email — stack: Calendly webhook + Claude + Gmail
Social Media Automation (15 workflows)
Cross-posting, scheduling, hashtag research, engagement monitoring. Pairs naturally with the Instagram Ignited methodology.
- Single post → Instagram + TikTok + Twitter + Threads — stack: Webhook + Cloudinary + Buffer
- Hashtag research bot (trending topic → hashtag set) — stack: OpenAI + Twitter API + Sheets
- Comment response automation with LLM moderation — stack: IG webhook + Claude + Reply API
- Competitor post monitoring → Slack digest — stack: Schedule + Apify + Claude + Slack
- Reel performance tracker → top-performer alert — stack: IG Insights + Sheets + Slack
SaaS Operations (12 workflows)
Stripe events, customer health, churn prediction, support deflection. Critical for any AI SaaS Builder student.
- New paying customer → personalized onboarding sequence — stack: Stripe webhook + Claude + Resend
- Failed payment → churn-prevention email + Slack alert — stack: Stripe + Claude + Resend + Slack
- Support ticket → LLM-drafted response → human approval — stack: Intercom + Claude + Slack
- NPS submission → categorized + routed — stack: Webhook + Claude + Linear
- Daily MRR report (Stripe → Slack message) — stack: Schedule + Stripe + Slack
Agentic AI Loops (10 workflows)
Multi-step LLM workflows with tool use, memory, and routing. The cutting edge of n8n + AI in 2026.
- Research agent (query → web search → synthesis → report) — stack: Claude + Brave Search + Notion
- Code review bot (PR → analysis → review comments) — stack: GitHub webhook + Claude
- Customer support agent with knowledge base RAG — stack: Webhook + Pinecone + Claude
- Multi-step booking agent (intent → calendar → email) — stack: Webhook + Claude + Calendly + Resend
- Self-healing workflow with error → LLM diagnosis → retry — stack: Error trigger + Claude + Retry
How to import any of these workflows
- Open your n8n instance (cloud or self-hosted).
- Click Workflows → Import from File or paste a JSON snippet.
- Add credentials for the third-party services the workflow uses (Claude, OpenAI, Slack, etc.).
- Activate the workflow and trigger a test run from the editor.
- Monitor the execution log for errors; iterate on the prompt + retry logic.
Production best practices for n8n workflows
- Use Set nodes early to canonicalize data shapes — keeps downstream nodes simple.
- Add Error Trigger workflows that catch any failed execution and Slack you. Critical for unattended automation.
- Cap retries at 3 with exponential backoff — most LLM calls that fail twice will fail a third time.
- Use the Code node sparingly — it's powerful but harder to debug than declarative nodes.
- Version-control workflow JSON in git. n8n workflows are JSON files; they belong in your repo just like code.
Build production AI workflows with the full course
This library is the surface — the AI SaaS Builder course covers the full 30-day playbook for shipping monetizable AI products on top of n8n + Claude API + Next.js + Stripe. Used by students earning $1K–$10K MRR within 60 days.
Adjacent reading: n8n vs Zapier, n8n vs Make.com, and the full AI Automation library.