This n8n workflow automates the process of generating and posting content to Bluesky, a social media platform. It is designed to schedule regular posts, generate content using language models, validate and format the content, and then automatically publish it. The workflow is ideal for social media managers or content creators who want to streamline their posting process and maintain consistent engagement.
The process begins with a Schedule Trigger that initiates the workflow at predefined intervals. It then creates a Bluesky session and uses an LLM (large language model) chain to generate engaging posts. The content is checked to ensure it’s valid JSON and does not exceed 300 characters, ensuring compliance with platform limits. The workflow includes an execution count feature to limit the number of posts generated during each run, providing control over posting frequency.
After content validation, the workflow makes an HTTP request to post the content on Bluesky. Error handling nodes ensure the process gracefully handles failures, retrying requests or stopping with an error message if necessary. Additional sticky notes serve as internal documentation or reminders within the workflow.
This automation is practical for continuous content generation and posting, saving time and effort while ensuring regular activity on Bluesky, thus improving social media presence and engagement.
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