Convibe — the method, shipped 
Why I Left ChatGPT (And What OpenClaw Taught Me About Control) RAG knowledge assistant February 2026 · from the workshop n8n DevRel build · retrieval-augmented AI Generic AI chatbots give generic answers. When your team or customers need responses grounded in your actual data — internal docs, SOPs, product documentation — you need Retrieval-Augmented Generation. I built a RAG assistant that answers from your own data with high accuracy. RAG knowledge assistant MITRE ATT&CK SIEM enrichment February 2026 · from the workshop n8n DevRel build · security automation When a security alert fires, every second counts. SOC analysts burn precious minutes — sometimes hours — manually researching threat context, cross-referencing MITRE ATT&CK techniques, and writing it all up. I built a system that compresses that into seconds. It embeds the entire… MITRE ATT&CK SIEM enrichment LinkedIn AI auto-responder February 2026 · from the workshop n8n DevRel build · human-in-the-loop AI High-volume LinkedIn outreach creates a good problem: too many conversations to manage well. I built a system that drafts contextual replies to incoming LinkedIn messages while keeping a human firmly in the loop for every send. It uses Unipile for LinkedIn API access,… LinkedIn AI auto-responder AI resume parser February 2026 · from the workshop n8n DevRel build · hiring automation Hiring at scale means processing hundreds — sometimes thousands — of resumes. Pulling candidate data out of PDFs and Word docs by hand is slow and error-prone. I built a pipeline that turns unstructured resume files into clean, structured candidate data in seconds. AI resume parser 
San Francisco — n8n Meetup, January 2026 
Automatically Enrich YNAB Transactions Using Email Receipts 
Crete — the n8n Offsite, November 2025 
From Tucson to Berlin Germany - Automations, AI, and the Late Nights In-Between 
Storms, Robots, and Rooftops: A New York Story 
Work Trip to San Fransisco California 
New York in August: Work, Bagels, and a Bit of Adventure Automate a viral newsletter with n8n + real-time web data August 2025 · from the workshop A live build: a newsletter that writes itself from real-time web data — automated end to end with n8n. Research, draft, and publish without the manual grind. Watch the whole pipeline come together live: pulling fresh web data, shaping it with AI, and turning it into a publish-ready newsletter… Automate a viral newsletter with n8n + real-time web data From prompt to production — smarter AI with evaluations July 2025 · from the workshop Most AI demos work once and break in production. This is how to ship AI you can actually trust — using evaluations to measure quality, catch regressions, and prove a system works before it touches real users. Practical AI evals built in n8n: the feedback loops that turn a… From prompt to production — smarter AI with evaluations We maxed out n8n — enterprise-scale benchmarking July 2025 · from the workshop Is n8n fast enough for the enterprise? We pushed it to its limits to find out — benchmarking throughput, concurrency, and exactly where it breaks under real enterprise load. A hands-on scale story for teams evaluating n8n for serious workloads: what it handles comfortably, where the ceiling actually is,… We maxed out n8n — enterprise-scale benchmarking 
San Francisco — AI User Conference, April 2025 
CallForge — the complete n8n workflow pack 
Berlin, Germany - Company Meetup IRL 
Berlin — the Mothership, March 2025 Flood the YouTube November 2024 · from the workshop n8n · the system leadership still runs n8n’s team in Italy wanted to see how the platform was spreading across YouTube — and had no way to measure it. I built the pipeline that answered it, and it became a dashboard leadership relies on. When I finished my time… Flood the YouTube 
Tuscany, Italy 
Boston — Machine Identity Summit, October 2024 
The n8n Chapter 