S

An LLM-backed agent that routes questions and calls tools.

Role
AI automation · Solo
Platform
n8n
Discipline
AI & Data
Year
2026
Trigger
Agent
Memory
Tools
Reply
Overview

An LLM-backed chatbot agent built in n8n, wiring trigger nodes, an AI agent node, and external API calls into an automated conversational workflow.

n8nLLM APIsWebhooksREST
The challenge

A useful assistant does more than chat — it remembers context, decides when to use a tool, and returns structured answers other systems can use.

Approach
  1. 01

    Triggers

    Webhook and chat triggers start each conversation.

  2. 02

    Agent node

    Configured system prompts and conversation memory.

  3. 03

    Tools

    External API calls the agent can invoke when needed.

  4. 04

    Structured output

    Responses returned in a consistent structure.

Key features

Memory

Keeps context across turns.

Tool use

Routes queries to external APIs.

Webhooks

Plugs into other systems.

Low-code

Easy to extend and maintain.

Outcome
  • A working automated agent workflow, extensible with new tools.
What I learned

“Clear system prompts and narrow tools beat one clever mega-prompt.”

Need something similar? See my AI & Automation service.

Next project

TechHive

A MERN e-commerce store for gadgets, gaming gear, and tech essentials.

Read case study
Browse
Cart
Checkout
Admin
Next step

I'm looking for full-time full-stack and AI engineering roles, and I take on select freelance projects.