Blog Writing Pipeline

Produce a Markdown blog post through separate research, outline, drafting, and editing steps. The workflow returns the edited post, topic, and generation time.

Setup

For Open Flow, select a configured llama3:8b model in every model step. For n8n, connect each attached Ollama Model to an Ollama credential with the base URL of a service reachable from n8n. Confirm that it serves llama3:8b. The native Ollama models send each step’s generation budget as num_predict. You can choose another available model in both formats; its wording and quality may differ.

In Open Flow, use Run and supply topic, tone, and integer word_count. For example, use “How our support team handles recurring questions”, “professional but conversational”, and 1500. In n8n, edit those values in Set Blog Parameters and use Execute Workflow.

Four model calls run in order. A failure stops later steps. The workflow does not browse sources, verify citations, or publish the post. Treat research notes as model output and check facts before publication. Word count is a prompt target, not an enforced count.

Changes to the source

• Use configured model accounts instead of a machine-local Ollama URL.
• Fix the source requests that omitted POST, and read message output through the model node contract instead of parsing a nonexistent data string.
• Use real paragraph breaks in prompts and stop if editing returns an empty post.

Adapted from AI Blog Writer Pipeline with Ollama in enescingoz/awesome-n8n-templates.

Source collection notice: © 2024–2026 Enes Cingoz, CC BY 4.0. The source export does not identify a separate template author or license. See repository licensing for the scope of OOMOL contributions and third-party material.