Fully autonomous multi-agent AI pipelines carry a fundamental flaw: they fail silently. This tutorial walks through building a content-review pipeline where a research agent gathers sources, a draft agent writes content, a human reviews via a Kanban board, and a publishing agent finalizes the work — all coordinated through Arvo events, with NoCoDB serving as the shared visual workspace. How to Build a Human-AI Collaborative Kanban Pipeline with ArvoWorks Provision the local stack with Docker Compose (NoCoDB, Redis, Deno agent runtime). Configure a NoCoDB Kanban board with Status columns mapping to each workflow stage. Define Arvo event contracts for research, draft, review, and publish stages. Implement research and draft agents that call an LLM and update card state via the NoCoDB API. Create a webhook bridge that translates NoCoDB status changes into Arvo events. Wire agents to the orchestrator with routing rules, including a human-blocking review gate.…