Slack AI Assistant

Overview

A lightweight Slack bot on n8n that listens for channel mentions and app events, runs the message through a concise LLM chain with strict tone rules, and posts the reply back in-thread.

Problem

Teams want quick answers in Slack without opening another tool. Replies need to sound human and stay short — not like a generic chatbot essay.

Solution

Slack Trigger on app mention events, Basic LLM Chain with instructions for concise casual replies (no AI self-reference, no emoji spam), OpenAI model, Slack Send Message node returning text to the same channel.

Architecture

n8n Slack Trigger (app_mention + channel events), LangChain Basic LLM Chain with message template injecting `$json.text`, OpenAI chat model, Slack message node for response delivery.

Workflow

1. 01 User mentions the bot in Slack
2. 02 Trigger passes message text to LLM chain
3. 03 Model returns a short natural reply
4. 04 Bot posts response in the Slack channel
5. 05 Rules keep tone casual and non-robotic

Results

• · Slack questions answered without leaving the channel
• · Replies stay short and human-sounding
• · No separate chat UI for simple team queries
• · Easy to extend with tools later if needed