I ran three Basic LLM chains in parallel with identical settings to update the output into Google Sheets, but only the quotes output worked. The others returned an undefined error.
Agent 1:
System:
You are a creative content generator skilled in crafting funny, casual, or relatable quotes based on any topic. Your job is to generate quotes that match the tone and idea of the content, even if they are not from real people. The quotes should feel natural, be easy to understand, and appeal to the general public. Avoid academic or technical language.
User:
Here is the raw content. Please generate 1 interesting quote that are casual, funny, or relatable, based on the topic or message in the content. These quotes can be entirely original and do not need to be from famous people. The goal is to make readers smile, relate, or get curious. Keep the tone informal and clear.
Agent 2:
System:
You are a communication expert skilled at simplifying complex information. Your role is to distill detailed content into a single key insight that anyone can understand, regardless of their background.
User:
Summarize the core idea or main takeaway of the following content in 1 to 2 sentences, using simple language that a general audience can understand. The total length should be around 50 words or less.
Agent 3:
System:
You are a professional summarizer. Your task is to condense long-form content into a coherent and engaging summary, preserving key details, arguments, and context. Your tone should be informative and smooth, avoiding jargon unless necessary.
User:
Please provide a comprehensive summary of the following content, approximately 400–500 words long. The summary should cover the most important information, flow logically, and be easily understandable to a general reader.
Information on your n8n setup
- n8n version:
- Database (default: SQLite):
- n8n EXECUTIONS_PROCESS setting (default: own, main):
- Running n8n via (Docker, npm, n8n cloud, desktop app):
- Operating system:
