Automate blog creation in brand voice with AI
This n8n template demonstrates a simple approach to using AI to automate the generation of blog content which aligns to your organisation's brand voice and style by using examples of previously published articles.
In a way, it's quick and dirty "training" which can get your automated content generation strategy up and running for very little effort and cost whilst you evaluate our AI content pipeline.
How it works
- In this demonstration, the n8n.io blog is used as the source of existing published content and 5 of the latest articles are imported via the HTTP node.
- The HTML node is extract the article bodies which are then converted to markdown for our LLMs.
- We use LLM nodes to (1) understand the article structure and writing style and (2) identify the brand voice characteristics used in the posts.
- These are then used as guidelines in our final LLM node when generating new articles.
- Finally, a draft is saved to Wordpress for human editors to review or use as starting point for their own articles.
How to use
- Update Step 1 to fetch data from your desired blog or change to fetch existing content in a different way.
- Update Step 5 to provide your new article instruction. For optimal output, theme topics relevant to your brand.
Requirements
- A source of text-heavy content is required to accurately breakdown the brand voice and article style. Don't have your own? Maybe try your competitors?
- OpenAI for LLM - though I recommend exploring other models which may give subjectively better results.
- Wordpress for blog but feel free to use other preferred publishing platforms.
Customising this workflow
- Ideally, you'd want to "train" your agent on material which is similar to your output ie. your social media post may not get the best results from your blog content due to differing formats.
- Typically, this brand voice extraction exercise should run once and then be cached somewhere for reuse later. This would save on generation time and overall cost of the workflow.
Automate Blog Creation in Brand Voice with AI
This n8n workflow automates the process of generating blog posts in a specific brand voice using AI, extracting information from a source, and then publishing the content to a WordPress site. It's designed to streamline content creation, ensuring consistency and efficiency.
What it does
This workflow performs the following key steps:
- Manual Trigger: Initiates the workflow upon a manual execution.
- HTTP Request: Fetches content from a specified URL, likely the source material for the blog post.
- HTML Extraction: Processes the fetched HTML content to extract relevant text, cleaning it for further AI processing.
- Information Extraction (AI): Utilizes a Langchain AI model to extract structured information (e.g., key topics, facts, tone) from the cleaned text, ensuring the output aligns with the desired brand voice.
- Edit Fields (Set): Prepares the extracted information and AI-generated content for the next steps, potentially formatting it or adding metadata.
- Basic LLM Chain (AI): Generates the full blog post content based on the extracted information and brand voice guidelines using another Langchain AI model.
- Markdown Conversion: Converts the AI-generated content into Markdown format, suitable for various publishing platforms.
- Split Out: Divides the Markdown content into individual items if the AI generates multiple sections or posts.
- Limit: Ensures only a specific number of items (e.g., one blog post) are processed further.
- Merge: Combines the processed content, preparing it for publication.
- WordPress Publication: Publishes the final, AI-generated, and formatted blog post to a WordPress site.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- OpenAI API Key: For the Langchain AI models (OpenAI Chat Model and Information Extractor).
- WordPress Account: Configured with appropriate credentials for publishing posts.
- Source URL: The URL of the content you wish to use as inspiration/source for the blog post.
Setup/Usage
- Import the workflow: Download the JSON provided and import it into your n8n instance.
- Configure Credentials:
- Set up your OpenAI API Key credential for the "OpenAI Chat Model" and "Information Extractor" nodes.
- Configure your WordPress credential for the "Wordpress" node, providing your WordPress site URL, username, and application password.
- Specify Source URL: In the "HTTP Request" node, update the URL to point to the content you want to use as a source for your blog post.
- Customize AI Prompts (Optional):
- Review the "Information Extractor" node to ensure the schema and instructions for extracting information match your needs.
- Adjust the prompts and settings in the "Basic LLM Chain" node to fine-tune the blog post generation for your specific brand voice, tone, and content requirements.
- Configure WordPress Publication (Optional): In the "Wordpress" node, set the desired post status (e.g., "draft", "publish"), categories, tags, and other post-related options.
- Execute the workflow: Click "Execute Workflow" on the "When clicking ‘Execute workflow’" node to run the automation.
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