Open-source workflow automation — nodes on a canvas, each node a small script, wired into if-this-then-that chains with optional AI agent nodes.
langchain: n8n's AI features are built on LangChain under the hood (per BC2 trainer)
claude-code: coding agents generate/debug n8n workflow JSON — 'use AI to build AI'
| Session | Coverage | Moment | What happened |
|---|
| Basecamp 3: Introduction to n8n — I | demonstrated | 0:16:21 | Cloud version throughout: canvas, node panel, parameters, credentials, executions tab, AI assistant (build mode, @-tag nodes), JSON paste, template gallery, GitHub repo tour |
| Basecamp 4: Introduction to n8n — II | demonstrated | 0:26:50 | Full production build: schedule trigger, Firecrawl node install, scrape options, code nodes, AI agent, Google Docs, Gmail, sticky notes/colors, Ask-vs-Build AI debugging, JSON download/import, webhook variant |
| Basecamp 6: Voice Agents | demonstrated | 2:39:16 | Webhook → filter (call_analyzed) → Google Sheets append-row; drag-and-drop column mapping; expression for UNIX→readable date; outbound calls via Retell API key teased for the future session |
| Session 6: Building an AI-Powered Lead Gen Machine | demonstrated | 1:15:20 | The factory chassis: Google Sheets trigger, HTTP nodes (curl import), AI-written code nodes, Apify integration, LLM stations, sheet updates, sticky-note station labels; workflow JSON shared |
| Session 17: Facebook Ads Competitor Research & Replication | demonstrated | 0:52:49 | Entire nine-node pipeline built live on a 14-day free trial; UI recently updated with an AI assistant panel; Ask-AI used once for an HTTP body fix; auto-converted a hardcoded API token into a credential |
| Bonus + Demo Day: Self-Hosting n8n with Docker (Cloud vs Local Decision, the n8n_data Volume, Credentials, ngrok) and How the Hackathon Was Judged | demonstrated | | Self-hosted install, activation, update, migration |
| Day 3: n8n From Zero — Triggers, Fixed vs Expression, an AI Spam Classifier, and Your First Lead-Routing Workflow | demonstrated | | Full lead-routing workflow built twice |
| Day 4: Your First AI Employee — Brain/Memory/Tools/Prompt, a Pinecone RAG Support Agent in n8n, and When NOT to Use an Agent | demonstrated | | Full CS agent build; Gmail, Edit Fields, OpenAI, Switch, AI Agent, Slack nodes |
| Day 6: Voice Agents That Talk Like Humans — the 5-Step Pipeline, Retell Settings That Matter, the 5-Section Prompt, cal.com Booking, and Call Logging | demonstrated | | Webhook -> Filter -> Sheets call log |
| Day 7: Building 'Jerry' — Master Agent, Sub-Agents as Tools, the List-Then-Act Pattern, and Calling Any API from n8n | demonstrated | | Master/sub-agent build; AI Agent tool node; Simple Memory; HTTP Request Tool; Date and Time tool |
| Day 9: Webhook vs API for Good — Apify Scraper, cURL Import, Structured Output, Gmail Drafts, then the Native-Node Rewrite | demonstrated | | Webhook, HTTP Request (Import cURL), AI Agent, Structured Output Parser, Gmail, native Apify nodes |
| Day 10: Principles for Building Agents — Three Levels of AI, the 7-Question Workflow-vs-Agent Test, Goldilocks Scope, Agent Prompting, and Tool Design | demonstrated | | Data-analyst agent with QuickChart tools; client systems |
| Day 12: MCP Ultra-Hard Mode — Editing the Config Safely, Building Your Own MCP Server in n8n, Opal, Cross-LLM Memory, and an Early Look at Claude Cowork | demonstrated | | MCP Server Trigger + HTTP Request tool = custom MCP server |
| Day 13: Front End Meets Backend — Lovable to n8n by Webhook and .env, the Lovable<->n8n MCP Connector, Respond to Webhook, and GitHub for Teams | demonstrated | | Webhook trigger, Respond to Webhook, MCP Access, Executions |
| Day 3: Markdown Prompting, Content DNA and Skills, MCP Everywhere (Vapi Call, Zomato, Apify), Goose and Local Models, a Voice Agent, and the Full n8n Customer-Support Build | demonstrated | | Full support automation |
| AI Automation Mastery I: Trigger-Logic-Action, Zapier vs Make vs n8n, and Four Live n8n Builds (Form to Email, AI-Personalised Email, Sheets and Data Tables, Scheduled LinkedIn Poster) | demonstrated | | All four builds; cloud trial |
| AI Automation Mastery II: an AI LinkedIn Pipeline with Human-in-the-Loop Approval and Nano Banana Images, Apify Lead Scraping to Personalised Cold Drafts, an AI Job-Match Scorer, Telegram Bots, and the Six-Level AI Generalist Roadmap | demonstrated | | Three builds; JSON export |
| An n8n Content-Repurposing Workflow: Google Sheet Paragraph to Tweet, LinkedIn Post and Shorts Script | demonstrated | | |
| Hands-On Project: a Chat-Triggered n8n Agent with Search, Manus Repurposing, and a Weekend Relay Assignment | demonstrated | | |
| Day 1: What Makes an LLM an Agent - Planning, Tools, Memory, Actions; Five Design Patterns; and Cursor, Antigravity and Claude Code Live | demonstrated | | Model + memory + tools agent, emailed live |
| Basecamp 5: MCP | explained | 0:19:15 | Callback anchor: the AI agent node (model/memory/tools) reframed as simplified tool calling; Gmail/Calendar nodes as prewritten API scripts |
| Build Reliable AI Apps Using LangGraph: The Travel Agent That Changes Its Mind — State, Nodes, Cycles, Interrupts, and Why the Vocabulary Is the Skill | explained | | The counter-example throughout: left-to-right, trigger-driven, cannot loop back. Named as the correct choice for linear work and for anything an ops team must maintain. |
| Session 2: How to Plan, Scope and Sell your AI Projects | explained | 1:34:22 | Build platform for client automations: largest integration catalog (its edge over Claude skills), the 500-page timeout war story, self-hosting for cost, weekly Google-Sheets re-auth reality |
| Session 12: Claude Code — Design & Building Agents (App-First: a Game, a GTM Board, and a Live Deploy) | explained | 1:54:57 | Q&A comparison: fixed automations vs Claude Code's AI automations; Claude can write n8n JSON workflows |
| Build Your 2026 Marketing and Distribution Engine: the GTM Loop, Painful-Reachable Markets, the Evidence Ladder, the Six-Part Offer, Create vs Capture Demand, Channel Mapping, and Three Playbooks | explained | 0:15 | Power-user / expert-partner playbook example |
| Day 5: MCP as Concierge — Easy/Medium/Hard Modes, Stacking Servers, Smithery Vetting, and RAG vs MCP | explained | | Native MCP node - paste server JSON |
| Day 11: Two Alternatives to n8n — Google Workspace Studio (VIP-Email Demo) and Lyzr Agent Studio (Knowledge Bases, Sub-Agents, a Manager, and API Deployment) | explained | | Comparison baseline throughout |
| Beginner Glossary (30 terms) + I'm Stuck Guides (23) | explained | | Five glossary terms plus four dedicated diagnostic guides (vocabulary, credentials, Gmail/Sheets isolation, cost estimation) |
| Practice Lab: Six Confidence-Building Projects | explained | | Projects 3 & 4: label-scoped Gmail trigger, Edit Fields normalize, Code-node scoring, IF/Switch routing, webhook test events, Sheets lookup + append |
| Learning Topics: Sessions 1–5 — Foundations to AI Director | explained | | Session 4's entire automation vocabulary, canvas shortcuts, AI-node selection table, and the canonical support build |
| Workbooks 1–5: Guided Builds with Completion Proof | explained | | Workbook 5's platform: cloud trial path, credentials manager, the thirteen-step build, activation and monitoring |
| Vibe Marketing: Emotion x Automation x Virality, the Marketer as Orchestrator, and an AI Squad of Tools | explained | | |
| Bonus Session (Day 3): No-Code Automation in Make.com - Form to Sheet to Email, the 7-Step Process, and a Daily AI Image-and-Caption Poster for Instagram and LinkedIn | explained | | Best for AI / agentic flows |
| Building a Web App with Replit: Vibe Coding Explained, the Tool Landscape, and a Live Build of a Business Site with an AI Sales Chatbot | explained | | Webhook alternative |
| AI Sprint: The Hermes Agent — Day 2 (Loop Engineering: the Scheduling Loop, the Delegation Loop, and the Skill Auditor) | explained | | 'Is n8n gone? Strongly no' — the deterministic-pipeline lane, self-hosted for cost |
| Office Hours I: Vetting an Idea, Niching Against the Frontier Labs, and Paul's Aircraft-Parts App (PWA, and 'What If I Get Hit by a Bus') | mentioned | | Rejected for that use: 'fails too often' |
| Office Hours XIV: Story Before Landing Page, Scoping an Agentic-Web Pitch, the Cost of Compute, Automating Past Google, and the Idea Bank | mentioned | 1:05 | Automations that only work inside Google |
| Session 1: Getting your first Client | mentioned | 0:20:40 | Cited as cohort skill inventory and lane-1 delivery vehicle (workflows, automations, dashboards) |
| Session 5: Mastering Lead Generation | mentioned | 2:30:56 | Tomorrow's automation: AnyMailFinder API + LinkedIn/website scraping + AI personalization + Instantly push, front to back |
| Session 11: Overview of Claude Code & Key Concepts (Installs, Modes, Context Files, Skills, Hooks & MCPs) | mentioned | 0:08:36 | His YouTube content subject; his agency builds these automations |
| Session 13: Claude Code — Skills, Sub Agents & the Token Economy (posted as 'Beyond Vibe Coding — n8n & More') | mentioned | 2:13:06 | An n8n skill exists in the marketplace — the title's only real n8n content |
| Session 15: Loop, Harness & Graph Engineering (posted as 'Securing Vibe-Coded Apps') | mentioned | 0:44:09 | The anti-example: fixed instructions, no self-adjustment — a workflow, not a loop |
| Session 16: GitHub 101 — Fundamentals & Essentials | mentioned | 0:42:39 | Scale exhibit: 1,607 branches, 22,000 commits on the public repo; its agent-skills repo shown as a fork-worthy asset |
| Session 18: Nano Banana + Veo 3.1 Multi-Shot Video — UGC Genie, an AI-UGC Product Built Live | mentioned | | 'We're building our own n8n' — the dotted-node aesthetic and the is-n8n-still-relevant Q&A |
| Session 19: Content Strategy Pipeline — the YouTube Growth Stack, Built by an Agent Team of Chats | mentioned | | Skill-vs-MCP vocabulary from earlier weeks resurfacing in cohort answers |
| Session 20: Complete LinkedIn Agency Automation — Carousels + Newsletter from One Content System | mentioned | | 'Create an N8N-style visual workflow' — the named UI reference for the node graph |
| Session 24: Building a Marketing OS — Sector-Agnostic Command Center on an Open-Source Stack | mentioned | | The hosting analogy for PostHog-class self-hosted apps |
| Session 30: C3 Town Hall — Four Cohort Products Under the Knife, Outcome Selling, and the Rest of the Programme | mentioned | | Used by Sarah for her receptionist workflow, but described by the host as receding - 'nobody really wants to get into n8n when something can be done in plain English and Claude Code'. |
| 24/7 Chief of Staff: Building 'Jarvis' - Hermes Agent as the Brain on an Azure VM, DeepSeek Harness as the Pluggable Face, Agent Client Protocol Instead of MCP, a Realtime Voice Orb, and Tailscale to Keep It Yours | mentioned | 0:45:00 | |
| Day 0: What an 'AI Generalist' Is, the 6-Level Roadmap, and How the 14 Days Run | mentioned | | Named as the primary automation tool for Days 3-4; 14-day free trial |
| Day 14: Graduation — Skills, Systems, Dollars: the Niche Framework, the First-Dollar Roadmap, Pricing, Moats, and What Happens Next | mentioned | | Automations as a product line; cloud ~EUR 20-25/mo for 2.5k executions |
| Day 1: How a Model Learns (Teachable Machine Live), Context Engineering, CO-STAR, Artifacts, Connectors, and Claude Cowork Running a Daily Stand-up | mentioned | | Day 3 automations |
| The Five-Level AI Generalist Roadmap (+ Operating System & Monetization) | mentioned | | L4 automation platform shortlist with Make and Zapier |
| Lyzr Agent Studio Deep Dive: a No-Code Manager Agent with Specialist Sub-Agents, Knowledge Bases, Testing and Deployment | mentioned | | |
| Day 2 (afternoon): MCP as the USB Port for AI, Building a Server in Two Lines, the Four Orchestration Shapes, and CRUD as the Security Model | mentioned | | No-code end of the spectrum |
| Organic Sales Playbook, Intro: Rent vs Own, the Honest Timeline, and the Business-Coach Diagnostic Prompt | mentioned | | |
| Organic Sales Playbook, Part 3: AEO Tracking, the Four-Stage Funnel, the Non-Sleazy Ask, Scaling with AI, and Measuring What Matters | mentioned | | |
| AI Sprint: AGI Readiness - Day 1 (Three Claims and Three Dials, the Agent Harness and Autonomy Ladder, the Failure Mode of Abundance, and the Six-Layer Readiness Stack) | mentioned | | Graph rung of the ladder; cohort's harnesses |
| AI Masterclass: Exploring Antigravity 2 — Four Products, Four Slash Commands, and Two Live Builds | mentioned | | 'If you want the exact deterministic approach, use n8n' — the routing rule again |
| AI Sprint: OpenClaw — Session 1 (Infrastructure, Not Agent: the Seven Documents, 1-Click VPS, and Model Routing) | mentioned | | 'n8n is automations; OpenClaw is autonomous' — the comparison answer |
| AI Sprint: OpenClaw — Session 2 (Token Anatomy, Claude Code Inside the Server, Skills, and Multi-Agent Workspaces) | mentioned | | Slido positioning again: automation backend an agent can trigger, not an agent |
| AI Sprint: The Open Source Playbook — Day 1 (Licenses, Open Weights, and Why Open Isn't Free) | mentioned | | Case study: fully open source AND a paid-hosting business |
| Zapier Dashboard, Zaps, Triggers and Actions: the Canvas, Setup-Configure-Test, and a Gmail-to-Sheets Zap | mentioned | | |
n8n