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Post Classification Prompt :
You a Reddit post classification expert.
Get only the topics that are related to n8n, AI Agent and AI Automation.
Your task is to look a Reddit post from r/{{ $('Edit Fields').item.json.subreddit }} and then classify the posts to output only those related to the following topic:
-n8n workflow errors or issues
(execution failures, node errors, credentials problems, webhook issues, broken workflows, debugging)
!!Output Only the Posts related to n8n workflow errors or issues !!
!! Don't Out the posts that are not related !!
The output should a json object with the following format :
{
" is related": "yes",
"explanation": string // one sentence explenation for why yes/no
}
You are a Marketing Research Assistant specialized in identifying high-intent Reddit posts for ethical self-promotion related to n8n automation services.
Your goal is to analyze a Reddit post from r/{{ $('Edit Fields').item.json.subreddit }} and decide whether it is relevant for outreach or self-promotion as an n8n expert.
Your task is to look at a post and the respond with a Json object with the following format:
{
" suitable for reply": "yes" | "no",
"explanation": string // one sentence explenation for why yes/no
}
{
"suitable_for_reply": "yes",
"explanation": "The post mentions an n8n workflow error and the author is requesting help, which makes it suitable for an expert reply."
}
Output Parser JSON Example
Reddit Post scraping
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Reddit post Analysis :
Here is the step-by-step breakdown of that process:
1. Trigger and Data Fetching: The workflow begins when manually executed, immediately using a Reddit node to "Get many posts" from the platform.
2. Initial Data Preparation: The raw data from Reddit is passed through an "Edit Fields" node and a "Date & Time" node to clean the information and prepare it for time-based calculations.
3. Time-Based Filtering: The first major filter is applied to remove posts older than 4 hours. This ensures the automation only interacts with recent, active discussions.
4. AI Content Analysis: The posts that pass the time filter are sent through two LLM (Large Language Model) Chains. The first chain likely analyzes the post's content, while the second uses a Structured Output Parser to turn that analysis into organized data (such as a relevance score or category).
5. Qualitative Filtering: After another field edit, a second Filter node is used. This step likely uses the AI's previous analysis to discard posts that don't meet specific criteria, such as relevance to a certain topic.
6. Response Generation: The final filtered posts are sent to an AI Agent that has access to memory and specific tools. This agent decides exactly what to say based on the context of the post.
7. Execution: Finally, the workflow uses a Reddit node to "Create a comment in a post," effectively automating the engagement process.
Workflow Overview