# n8n Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/n8n
> Markdown URL: https://aitinkerers.org/technologies/n8n.md
> Technology record last updated: 2026-09-18T15:13:49Z
> Generated: 2026-09-22T13:36:57Z

n8n (pronounced 'n-eight-n') is the fair-code workflow automation platform: it gives technical teams the power of custom code (JavaScript/Python) via a visual, node-based editor.

This is n8n: a powerful, self-hosted workflow automation platform designed for developers and technical teams. It uniquely blends the speed of a no-code UI with the flexibility of custom code, allowing users to build complex, multi-step automations that other tools cannot handle. With 400+ integrations and native AI capabilities, n8n ensures you maintain full control over your data and deployment (on-prem or cloud). For example, you can build a workflow to automatically pull data from a private API, transform it with a custom Python script, and push the results to both Salesforce and a Slack channel, all from a single visual canvas.

- Official technology site: https://n8n.io/
- Public AI Tinkerers demos and talks: 46
- Result page: 1 of 2

## Recent Public Talks and Demos

### [Referral systems are a GTM engineering problem](https://valencia.aitinkerers.org/talks/rsvp_cbEjaJjaKHg)

Seven referral mechanisms run against 40 real companies — Airbnb, Monzo, Dropbox, Tesla — every number from filings, eng blogs or peer review. Then the four things AI actually changes: who to ask, when, with which words, and how to pay. Closes with a live case study: wiring all seven into insider.works.

- Event context: GTM Teardown September — AI Tinkerers Valencia — 2026-09-08 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_cbEjaJjaKHg

### [Taskless: I Stopped Writing Tasks and Let My Notes Do It](https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_R83DVSpQNFA)

Taskless is a local automation that reads my raw, messy Obsidian thought-dumps and turns them into ClickUp tasks on its own, no manual task entry, no project-manager busywork. Live, I'll drop a real note dump into the watched vault and you'll watch n8n pick it up, the LLM classify each line as new / done / progress / ignore, and ClickUp create new tasks and close finished ones in real time from plain prose like "fixed the auth login bug today." I'll show the working n8n workflow, the LLM classification + dedup-by-hash steps, the execution logs as it runs, and the repo.

- Event context: AI Tinkerers Islamabad - July 18, 2026 — 2026-07-18 — Islamabad Rawalpindi
- Public talk page: https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_R83DVSpQNFA

### [Orquestração multi-agente em n8n: sub-workflows virando tools dinâmicas](https://curitiba.aitinkerers.org/talks/rsvp_F61Msr-AenQ)

Construí um sistema multi-agente que opera o assistente de WhatsApp de uma marca brasileira de suplementos "clean label" com catálogo de 20+ SKUs em 8 categorias (sono, estética, emagrecimento, imunidade, saúde feminina 40+, entre outros) e dois canais ativos de WhatsApp para quiosque físico e delivery. O problema real: volume de perguntas simultâneas sobre produtos específicos (composição, indicação, contraindicação, disponibilidade), mix de intenções radicalmente diferentes: consumidora final comprando pela primeira vez, cliente em recompra, nutricionista prescrevendo e a necessidade de escalar atendimento sem perder o tom consultivo que a marca construiu. Em vez de LangGraph ou CrewAI, usei n8n como orquestrador e Claude como motor de decisão. Mensagens chegam via Evolution API num webhook do n8n; o Claude classifica a intenção (tool use) e roteia para a tool certa; mas cada "tool" é um sub-workflow n8n separado, chamado via Execute Workflow. Cada sub-workflow tem seu próprio prompt, seu próprio acesso ao Supabase (RAG sobre o catálogo completo com pgvector, histórico de pedidos, perfil do cliente) e seu próprio guard-rail. Quando a confiança do Claude cai especialmente em perguntas clínicas sobre contraindicações, o agente passa para humano via Chatwoot. Tudo self-hosted na Hetzner (Docker Swarm + Traefik). Na demo ao vivo mostro: uma mensagem real chegando no WhatsApp, o painel do n8n executando nó a nó, o sub-workflow correto ativando como tool, e os logs no Supabase. Compartilho o padrão "sub-workflow-as-tool" e o JSON exportado.

- Event context: AI Tinkerers Curitiba: Evento Inaugural — 2026-06-10 — Curitiba
- Public talk page: https://curitiba.aitinkerers.org/talks/rsvp_F61Msr-AenQ

### [Agnic.AI: Payable Agents &amp; a New Monetization Layer for AI Builders](https://toronto.aitinkerers.org/talks/rsvp_ZgqPADQ3wBs)

Agnic.AI is a system for turning AI agents into self-sovereign economic actors that can earn, spend, and prove identity on-chain. In this demo, I’ll show how I built agents that can autonomously complete tasks with programmable payment rails, and attach verifiable identity and skill signals (inspired by OpenClaw-style "Pay + ID" skills). The project explores how agents move from being tools to participants in an open marketplace.

- Event context: AI Tinkerers Toronto - April 2026 - hosted by Shopify — 2026-04-29 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_ZgqPADQ3wBs

### [Por qué los LLMs le fallan a tu tía — y el middleware que lo arregla](https://bogota.aitinkerers.org/talks/rsvp_IpWjE18ZKrY)

Un agente en OpenClaw/Python para adultos mayores con baja literacidad digital, accesible por WhatsApp/Telegram. Lo presenté en el hackathon de Tribu IA el 13 de abril con fallas graves. Esta demo muestra el diagnóstico, las tres correcciones de arquitectura, y los resultados de una sesión de prueba real con dos usuarias de +85 años.

- Event context: AI Tinkerers Bogotá: Demos for builders — 2026-04-23 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_IpWjE18ZKrY

### [The Zero-Partners VC - AI Native VC running on AI Agents](https://zurich.aitinkerers.org/talks/rsvp_cPNM9rUu4j8)

We are www.ellipsis-venture.com - 2 GPs who are AI Builders (x-Google, x-founders, x-Apple) who run a fund without employees. We built an agentic system that runs everything - sourcing, due diligence, score cards and memos, marketing, Investors Relations, Ops, etc.

- Event context: AI Tinkerers Zurich April 9th — 2026-04-09 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_cPNM9rUu4j8

### [Clawloop - the unified learning api](https://zurich.aitinkerers.org/talks/rsvp_sEFw1hfu1rc)

Clawloop is the learning from experience layer for AI agents. It turns traces, failures, and user feedback from production traffic and interactions with training environments into updates to an agent’s harness and weights. The harness includes prompt, memory, and tools, so Clawloop can improve not just the model but also how the agent is instructed and equipped. It plugs into stacks like LiteLLM, OpenClaw, and n8n and connects to training backends like SkyRL and Tinker for weight adaptation.

- Event context: AI Tinkerers Zurich April 9th — 2026-04-09 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_sEFw1hfu1rc

### [GitOps for Rules: Tests, Signatures, and Policy Diffs for Changing Requirements](https://bremen.aitinkerers.org/talks/rsvp_JWF02w4zz2M)

I will demo a workflow that treats “rules” like deployable software artifacts. Starting from a policy module in YAML, I will show how changes produce a readable diff, trigger golden tests, generate a cryptographic signature, and publish a versioned module. Then I will run a batch simulation to quantify what the change actually does (block/flag rates, which rules fired, what shifted). Finally, I will export an evidence bundle for a single decision containing the module hash + trace. Code walkthrough only: diffing, test harness, signing, and the simulation runner.

- Event context: AI Tinkerers Bremen — 2026-03-25 — Bremen
- Public talk page: https://bremen.aitinkerers.org/talks/rsvp_JWF02w4zz2M

### [One to Many - from OpenClaw to organisations of ambient agents](https://berlin.aitinkerers.org/talks/rsvp_JNrCPzSFCMc)

Over the last 2 weeks, I went from n8n, to openclaw, to now paperclipAI, where I run a team of 5 ambient agents working on shared goals, with a common task manager. All of this on the side of our main project, building a multi-agent system for local businesses. I'll share a walkthrough of what the organisation of agents have built over the last week, and talk about where they have failed, and what is still needed in harness development for multi-agent systems.

- Event context: AI Tinkerers Berlin Meetup - March 11, 2026 — 2026-03-11 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_JNrCPzSFCMc

### [Ai-bot selling land in Mexico](https://san-diego.aitinkerers.org/talks/rsvp_lBsQLz3iwRQ)

A demo of an end-to-end AI sales pipeline that captures inbound WhatsApp messages from Facebook/Instagram ads and instantly auto-dials the lead with a Spanish-speaking AI voice agent. The bot qualifies the prospect, handles objections, and books property visits, all within seconds of first contact. I'll walk through the architecture: workflow orchestration catching WhatsApp webhooks, Retell AI handling real-time voice conversations with custom prompts tuned for Mexican Spanish, and Attio CRM API logging the full call lifecycle. I'll show the messy parts: multitude of statuses coming back from RetellAI after a call have finished, getting natural-sounding Spanish from voice models, and handling the 33% answer rate reality of cold-calling in Mexico.

- Event context: AI Tinkerers San Diego: February Meetup at Google — 2026-02-27 — San Diego
- Public talk page: https://san-diego.aitinkerers.org/talks/rsvp_lBsQLz3iwRQ

### [AI All the Way Down: Building a Production Fuel Pricing System with 5 AI Agents](https://st-louis.aitinkerers.org/talks/rsvp_uWD0V_b2O1k)

I am a former long time CIO at High Tech manufacturer Laird Technologies (15 years), and then DuPont (https://www.linkedin.com/in/mattmizell/). I have recently joined a small local company named Better Day Energy to build the entire technology stack for last mile petroleum delivery. I am using AI to develop, and also run a lot of the backed. As an example: We use Claude Code to build AI agents in n8n and python that parse emails and monitor AI parsing failures. It's AI turtles all the way down—and it actually works in production.

- Event context: AI Tinkerers – St. Louis Meetup: February 4, 2026 — 2026-02-04 — St. Louis
- Public talk page: https://st-louis.aitinkerers.org/talks/rsvp_uWD0V_b2O1k

### [Intercepting AI Tool Calls: Preventing Hallucinated IDs with LangGraph MCP Middleware](https://cologne.aitinkerers.org/talks/rsvp_0aDoOqEb6qA)

Live walkthrough of a production middleware pattern that intercepts LLM tool calls before execution to inject correct workflow IDs, preventing hallucinated values. The demo covers: The problem: LLMs hallucinate workflow IDs when calling n8n tools via MCP The solution: WorkflowInjectorToolNode wrapping LangGraph's ToolNode to intercept and modify tool calls Implementation details: how to modify AIMessage.tool_calls before execution, handle edge cases, and maintain compatibility with LangGraph's tool matching Trade-offs: when to use middleware vs. prompt engineering vs. tool design Includes real code from a production agent system, showing the interception logic, error handling, and integration with LangGraph's checkpointing system.

- Event context: AI Tinkerers Cologne #2: Let's Build. — 2026-01-21 — Cologne
- Public talk page: https://cologne.aitinkerers.org/talks/rsvp_0aDoOqEb6qA

### [share of voice](https://prague.aitinkerers.org/talks/rsvp_ar9eJgdfvuY)

n8n/html app that fetches public ads data from facebook ads manager and runs various analylsis and comparisons on it using various ai practices

- Event context: AI Tinkerers Prague: Annual Christmas Meetup 2025 — 2025-12-16 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_ar9eJgdfvuY

### [Voice AI Agent Architecture: Streaming Deepgram → OpenAI → ElevenLabs in Production](https://bogota.aitinkerers.org/talks/rsvp_qzFaWSx-eM4)

Live technical walkthrough of building RENATA, a production voice AI agent handling real property management queries. I'll show the actual implementation: how we orchestrate Retell AI webhooks with n8n workflows to process incoming calls, stream audio through Deepgram for real-time transcription, query Supabase vector stores for property-specific context, inject that context into OpenAI function calls, and stream responses back through ElevenLabs for natural voice output. Code walkthrough includes: n8n JavaScript nodes for parsing conversation state and building dynamic prompts Supabase queries that retrieve property data based on conversation context OpenAI function calling schema for actions (book reservation, escalate to human, check availability) Retell AI custom LLM integration for handling interruptions and natural conversation flow WhatsApp Business API webhook handling for message routing Error handling and fallback logic when systems don't respond I'll show the messy parts: how we handle race conditions in real-time voice, the hacky way we maintain conversation state across n8n executions, and the specific prompt engineering tricks that make the agent actually useful instead of generically polite. Demo includes live code, actual n8n workflows, database schemas, and API calls.

- Event context: AI Tinkerers Bogotá - Nov 2025 — 2025-11-27 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_qzFaWSx-eM4

### [AI-Powered Lead-to-Conversion Automations Using n8n + LLMs](https://tiruchirappalli.aitinkerers.org/talks/rsvp_7jf5H6xXPrY)

This session showcases how businesses can automate their entire lead management cycle using n8n and Large Language Models (LLMs). From collecting incoming leads to generating summaries, follow-up reminders, WhatsApp updates, and smart insights, you’ll learn how AI can convert raw lead data into actionable decisions — automatically. Perfect for founders, digital marketers, and creative teams who want to reduce manual work and boost conversions using no-code intelligence.

- Event context: AI Tinkerers Tiruchirappalli Meetup — Demo Proposals Open — 2025-11-22 — Tiruchirappalli
- Public talk page: https://tiruchirappalli.aitinkerers.org/talks/rsvp_7jf5H6xXPrY

### [Automating AI Consultancy: How We Built an Agentic System That Audits AI Value Before You Pay](https://nairobi.aitinkerers.org/talks/rsvp_1UMH5l56xkk)

I’ll be showcasing a working demo of a unique AI-driven system that automates AI audits and consultancy, solving a growing problem where businesses pay for “AI discovery calls” that deliver no real value. Our system allows businesses to register, describe their pain points and current systems, and then instantly receive a full AI audit report, including ROI projections, compatibility checks, and recommended solutions, before ever speaking to a consultant. The system combines agentic reasoning, context-aware dialogue, and workflow automation using n8n, Google Gemini, and CustomCX’s knowledge base (pretrained with industry scenarios and automation templates). The frontend, built in Next.js, offers an intuitive guided experience and even includes a “discussion mode” powered by RetellAI voice integration to help businesses refine their inputs. This demo will walk through: The business onboarding and AI audit flow How the agent interprets context, systems, and goals to produce actionable audits The architecture decisions enabling fast, scalable, and interpretable automation And how this approach transforms the current consultancy model, moving from "pay-to-discover" to "diagnose-before-purchase

- Event context: AI Tinkerers Nairobi - Edition #4 (Nov 6, 2025) — 2025-11-06 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_1UMH5l56xkk

### [How We Made AI &amp; Automation Systems That Run Your Business Without Increasing Headcount](https://dhaka.aitinkerers.org/talks/rsvp_GY65cJBfRhg)

I’ll be sharing how I built and automated my AI Automation Agency, Automate Your Work (AYW), and how we apply the same principles inside Yet Fresh — our AI-powered, byte-sized media brand. I’ll walk through: - How I use AI tools to automate my business operations so it runs with minimal manual effort. - The specific automation tools and systems I rely on. - How I approach brainstorming, system design, and implementation to streamline growth. - How we help clients scale revenue without increasing headcount — by building automation into their workflows. Then I’ll break down Yet Fresh — how we use AI to create and distribute short-form media efficiently, and how we engineer and structure prompts to consistently produce high-quality, human-level output at scale.

- Event context: AI Tinkerers Dhaka Inaugural Meetup - Dhaka Builds with AI — 2025-11-01 — Dhaka
- Public talk page: https://dhaka.aitinkerers.org/talks/rsvp_GY65cJBfRhg

### [Evaluation-Driven Development](https://valencia.aitinkerers.org/talks/rsvp_ZjcADzTeE08)

Live demo of a lightweight n8n-based eval framework Using evals as acceptance criteria and as regression guards Metric-driven fine-tuning and cost optimization. Comparing GPT-5, GPT-5-chat, Grok-4-fast-no-reasoning Turning customer feedback into new evals

- Event context: Opening AI Tinkerers Valencia x VDS - 22 October — 2025-10-22 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_ZjcADzTeE08

### [AI automation Agents](https://nairobi.aitinkerers.org/talks/rsvp_msMfL7yMAEs)

I have 4 AI agent to present, 1. Website Chatbot agent that can be embedded on any website to automate support and enquiry (customizable widget) 2. Voice agent powered by elevenlabs backend orchestrated by n8n 3. Email classifier agent and auto responder 4. WhatsApp Chatbot

- Event context: AI Tinkerers Nairobi – Sep 25, 2025 Meetup — 2025-09-25 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_msMfL7yMAEs

### [Workflow con stack tecnológico, usando n8n, evolution api e Easy Panel con integración en redes sociales (Facebook, WhatsApp)](https://pereira.aitinkerers.org/talks/rsvp_w8IcmRfAOu4)

Quiero compartir un proyecto que esta actualmente en producción con enfoque en automatización de procesos en redes sociales con grandes volúmenes de actividad, en esta solucion se integra un stack tecnologico a traves de la plataforma de EasyPanel, en la cual se administra n8n, base de datos (PostgreSQL), habilitando el uso de whatsapp con evolution api, integracion de agentes de open AI, y codificación en lenguajes como Javascript, usando estrategias inteligentes de Engineer Prompting.

- Event context: AI Tinkerers Pereira: De Usuarios a Makers: Prototipos que Inspiran — 2025-09-24 — Pereira
- Public talk page: https://pereira.aitinkerers.org/talks/rsvp_w8IcmRfAOu4

### [Ingeniería Creativa](https://manizales.aitinkerers.org/talks/rsvp_PHcEDyXw2WE)

La creatividad parece ser un toque de Dios, pero en la práctica se usan fórmulas que se pueden programar. Con la ayuda de la automatización y la IA se crea un modelo que examina cientos de combinaciones para encontrar la idea perfecta

- Event context: 🚀 ¡Septimo Encuentro de AI Tinkerers Manizales! 🤖 — 2025-08-27 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_PHcEDyXw2WE

### [Un agente para dominarlos a todos](https://manizales.aitinkerers.org/talks/rsvp_pMixfk-2Js4)

En esta charla mostraremos cómo, a través de gemini‑cli y el módulo n8n‑mcp, y aplicando técnicas avanzadas de prompt engineering, es posible diseñar y desplegar flujos de trabajo en n8n que automatizan desde tareas sencillas hasta integraciones complejas con APIs externas, todo sin escribir código extenso. Veremos la configuración paso a paso, la creación de prompts efectivos y varios casos prácticos que demuestran el poder de esta combinación.

- Event context: 🚀 ¡Sexto Encuentro de AI Tinkerers Manizales! 🤖 — 2025-08-27 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_pMixfk-2Js4

### [AI Evals in n8n](https://hamburg.aitinkerers.org/talks/rsvp_ADD14IkoSaA)

In this demo, I quickly want to show how to setup Evals in n8n for AI/Agent workflows to monitor and iterate on the quality of Agentic/AI solutions.

- Event context: AI Tinkerers Hamburg #3 - August 14 — 2025-08-14 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_ADD14IkoSaA

### [From Automation to Agentic AI: Building Real-Time Business Tools with n8n and Blockchain](https://houston.aitinkerers.org/talks/rsvp_NakWLR_xLJ0)

I’ll walk through how we use n8n, Hedera, and the Circle Payment Network (CPN) to build live data pipelines that help small businesses tokenize real-world assets, track USDC payments, and automate compliance. This demo will show how to turn a business workflow into an AI-driven agent—no fluff, just clean implementation.

- Event context: AI Tinkerers Meetup - Houston, August 12, 2025 — 2025-08-12 — Houston
- Public talk page: https://houston.aitinkerers.org/talks/rsvp_NakWLR_xLJ0

## Related Technologies

- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos
- [OpenAI API](https://aitinkerers.org/technologies/openai-api) ([Markdown](https://aitinkerers.org/technologies/openai-api.md)) — 520 public demos
- [Supabase](https://aitinkerers.org/technologies/supabase) ([Markdown](https://aitinkerers.org/technologies/supabase.md)) — 90 public demos
- [LangChain](https://aitinkerers.org/technologies/langchain) ([Markdown](https://aitinkerers.org/technologies/langchain.md)) — 445 public demos
- [JavaScript](https://aitinkerers.org/technologies/javascript) ([Markdown](https://aitinkerers.org/technologies/javascript.md)) — 40 public demos
- [OpenAI](https://aitinkerers.org/technologies/openai) ([Markdown](https://aitinkerers.org/technologies/openai.md)) — 112 public demos
- [PostgreSQL](https://aitinkerers.org/technologies/postgresql) ([Markdown](https://aitinkerers.org/technologies/postgresql.md)) — 106 public demos
- [Claude](https://aitinkerers.org/technologies/claude) ([Markdown](https://aitinkerers.org/technologies/claude.md)) — 174 public demos
- [Docker](https://aitinkerers.org/technologies/docker) ([Markdown](https://aitinkerers.org/technologies/docker.md)) — 147 public demos
- [Gemini](https://aitinkerers.org/technologies/gemini) ([Markdown](https://aitinkerers.org/technologies/gemini.md)) — 188 public demos
- [ChatGPT](https://aitinkerers.org/technologies/chatgpt) ([Markdown](https://aitinkerers.org/technologies/chatgpt.md)) — 83 public demos
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 216 public demos
- [ElevenLabs](https://aitinkerers.org/technologies/elevenlabs) ([Markdown](https://aitinkerers.org/technologies/elevenlabs.md)) — 42 public demos
- [Google Sheets](https://aitinkerers.org/technologies/google-sheets) ([Markdown](https://aitinkerers.org/technologies/google-sheets.md)) — 10 public demos
- [Next](https://aitinkerers.org/technologies/next) ([Markdown](https://aitinkerers.org/technologies/next.md)) — 186 public demos
- [Node](https://aitinkerers.org/technologies/node) ([Markdown](https://aitinkerers.org/technologies/node.md)) — 99 public demos
- [OpenClaw](https://aitinkerers.org/technologies/openclaw) ([Markdown](https://aitinkerers.org/technologies/openclaw.md)) — 50 public demos
- [AGENTS](https://aitinkerers.org/technologies/agents) ([Markdown](https://aitinkerers.org/technologies/agents.md)) — 20 public demos

## More Results

- Next: https://aitinkerers.org/technologies/n8n.md?page=2
