Summary
This chapter covers how to design and model a visual workflow automation pipeline—using flowchart nodes for triggers, branching parallel API calls, data normalization and merging, and integration with an LLM for final output.

General domain of usage
E-commerce product listing analysis and summary generation

**Turn your written ODT (Outcome, Data, Trigger)** into a clear Miro map that anyone can understand at a glance. Aim for one entry point, focused branches, local cleaning, a single merge, and one final output.

* **Draw the shortest path** from start to resultж
* Keep **one source of truth** and one final snapshot before outputж
* Use **branch and merge** only when inputs are truly independentж
* Prefer **clear labels over clever wiring** so future you can understand the map in seconds.


Create a **clear, minimal Miro map** that reflects the final node layout. Mark exactly where data is **cleaned** and **merged**, and show how the **final snapshot** connects to the LLM and output nodes. The plan should be simple but detailed enough that anyone, including your future self, can rebuild the workflow without confusion or surprises.

What is the key goal when creating a Miro map from your ODT plan?

n8n is a flexible automation platform for connecting apps, transforming data, and building AI-powered workflows. You'll develop strong fundamentals through real, practical examples, covering triggers, JSON handling, data-flow theory, AI integration, webhooks, and complete automation builds. The focus is on understanding how information moves through a workflow and how to structure that information so nodes and APIs behave predictably. The result is the ability to design, debug, and ship reliable automations that work end to end.

A practical overview of n8n's environment, core tools, and the mindset needed to build automations. Concepts include using AI effectively, understanding how data flows through nodes, importing templates, and transforming raw inputs into structured output.

A focused exploration of the essential workflow components. Triggers, data manipulation nodes, HTTP requests, webhooks, and flow control logic. The material builds a clear mental model for how executions start, how data is shaped, and how routing decisions are made.

A deep dive into how n8n represents and processes data. Topics include JSON structure, reading full payloads, repairing malformed JSON, handling arrays and objects, and working with binary files. The goal is predictable, confident data handling across all workflows.

A step-by-step transformation of an ODT plan into a structured automation blueprint. The material covers reliable RSS feeds, preparing data for LLMs, generating tweets with Airtable loops, designing outcome-driven flows, and mapping the full workflow inside Miro.

A complete build from initial concept to final output. Topics include structuring the flow, normalizing API data, looping, error-proofing, and writing back to Airtable with polished automation that demonstrates end-to-end reliability and clarity.

Miro Workflow Blueprint

Awesome!

Miro Workflow Blueprint