shay-shitrit (Lab17, product background) helps companies adopt AI through n8n automations and agents. Start with n8n Cloud (~€20–25/month, integrations with minimal friction); self-host later for privacy and cost. Worked example: an email labeler where an LLM classifies new Gmail messages into fixed categories. It grows into a receipts agent that logs each receipt to Google Sheets, extracts PDF text, flags unusual charges against the vendor’s history, and files attachments in Drive. No-code removes the coding “plumbing” but not the other half of technical work: prompts, tool wiring, and system design. Developers use it for fast MVPs and internal tools, and a dedicated automation owner can serve non-technical teams instead of pulling R&D in. Versus Make, Zapier, Flowise, and Langflow: n8n spans simple to complex flows, has strong LangChain-based agent nodes, and prices per workflow run, not per step. It also offers execution history for debugging, built-in evals, and fast releases (native Anthropic, Firecrawl scraping).
Show: langtalks
Concepts: workflow-automation · personal-ai-assistants · ai-sdlc · llm-evals