Identify, Scope, and Build an Agentic Workflow in N8n with Max Tkacz
•February 27, 2026
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Why It Matters
The tutorial shows how product teams can quickly prototype low‑risk, AI‑powered automations in n8n, accelerating insight gathering and decision‑making while minimizing operational exposure.
Key Takeaways
- •Prioritize automation tasks by time saved, feasibility, risk.
- •Use a “panic button” method to capture repetitive manual tasks.
- •Scope V1 by selecting low‑risk, high‑impact competitor monitoring.
- •Build reusable tool workflows in n8n before integrating AI agents.
- •Schedule weekly AI agents to fetch, filter, and email LinkedIn insights.
Summary
The video walks viewers through building an AI‑driven, agentic workflow in n8n, starting with a live demo that automates a repetitive competitor‑monitoring task. Max Tkacz emphasizes a disciplined triage process—evaluating potential automations on time saved, feasibility, risk of damage, and the human joy‑or‑dread factor—before committing development effort.
He introduces a practical “panic button” technique: whenever a manual step feels tedious, note it, estimate its time cost, and assess its automation viability. Applying this framework, he narrows a list of tasks (replying to comments, tracking competitors, distributing content) to the low‑risk, high‑value competitor‑watching use case, then scopes a V1 that scrapes LinkedIn posts, categorizes them with an LLM, and emails a summary.
The walkthrough details constructing a reusable tool workflow: a trigger activated by another workflow, an Ampify actor to scrape LinkedIn, JavaScript‑style date expressions for dynamic windows, and an edit‑fields node to trim the payload. He then decouples this tool from an AI agent that runs on a weekly schedule, demonstrating how the agent can invoke the tool, process results, and send formatted Gmail notifications—illustrating modular design for future extensions.
By modularizing the scraper as a standalone tool and the agent as a separate orchestrator, the approach enables rapid iteration, reuse across projects, and safe scaling of AI‑augmented automations. Organizations can thus capture insights faster, reduce manual overhead, and mitigate operational risk while maintaining flexibility for future workflow enhancements.
Original Description
Watch the entire Superstream: https://learning.oreilly.com/videos/genai-superstream-agentic/0642572270179/0642572270179-video403061/?utm_medium=social&utm_source=youtube&utm_campaign=free+trial&utm_content=genai+superstream
GenAI may be democratizing automation, but the process still isn’t frictionless. In this talk from O’Reilly’s GenAI Superstream, Max Tkacz of AI workflow automation tool n8n gets you started—in under 30 minutes. Max leads a live demo in real time, taking you step-by-step through the creation of a V1 AI agent in n8n that finds and shares weekly competitor social insights. You’ll learn how to go from choosing which tasks to automate to setup and deployment to planning for V2—building small, autonomous wins that will help create the compounding momentum needed to drive larger agentic transformation across your organization.
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