The prompt is the most important part and what makes the real difference in the market. If two people use the same systems the one with the better prompt can get results ten times better. I want to improve my skills in this. I learned a simple prompt structure ##role ##instructions ##available tools and when and how to use them ##input and output examples ##final notes This structure is good but I believe there are better and stronger ways. How can I take my prompt to the next level. What do you think about this structure and where can I learn prompt engineering better. I am looking for free and paid resources but not expensive ones. In the end the base of any AI agent is the prompt and understanding the data not the nodes or tools because tools change all the time. One day n8n may look completely different or even disappear.

Where can I learn prompt engineering and prompting. It is what can level up your work by x10 and really make you stand out in the market. I am looking for strong learning resources both free and paid but with reasonable prices. I want practical sources that focus on real use cases not theory only. Prompt engineering is the core of any AI system. A strong prompt and good data understanding matter more than tools or nodes because tools change all the time. 🙏🙏

Hi everyone, I built an Instagram chatbot in n8n (Meta webhook → AI agent → send reply). The chatbot works perfectly on the user side (front-end) — users send a message and receive the correct reply, and there are no visible issues at all. However, behind the scenes in n8n Executions, I noticed a problem: For each single Instagram message, I don’t get 1 execution as expected. Instead I get 3–4 executions. Only 1 execution succeeds, and the other 2–3 executions fail with “Error”. Even though the bot still works normally, these extra executions worry me because: they can create heavy load when many people use the bot they can waste tokens / API calls and cost money So it seems Meta is sending multiple webhook events for one message (or retries), and n8n triggers the workflow multiple times. What is the best way to make n8n process only one execution per real user message, and ignore duplicates / non-message events? Please reply here in the comments if possible — I would be very grateful.

Hi everyone,I built an Instagram chatbot using n8n (Meta webhook → AI agent → send reply). From the user side everything works perfectly, but in n8n Executions I’m seeing something odd:For one Instagram message, I get 3–4 executions instead of 1.Only one succeeds, while the others fail with “Error”. Even though the bot replies normally, I’m worried because this can: - create heavy load when many users message the bot - waste tokens / API calls (extra cost) It looks like Meta is sending multiple webhook events or retries for the same message. I’m sure there’s a proper solution for in this problem : 1. Is this normal with Meta / Instagram webhooks? 2. What’s the best practice in n8n to ensure only one execution per real message? 3. How can I reliably filter duplicates or non-message events? Thanks a lot 🙏

Hello everyone I have recently entered the AI industry and I am focusing on specializing in chatbots. However, I am currently facing challenges integrating Meta platforms with APIs and managing access tokens for Instagram, Messenger and WhatsApp. If anyone has experience with this or can offer guidance, I would greatly appreciate your help. Thank you in advance.