Create an autonomous task-handling AI agent with OpenAI and Slack

This workflow creates a self-improving AI agent inside n8n that can understand natural language tasks, plan steps, use tools (HTTP, code, search, …), reflect on results, and continue until the goal is reached — then deliver the final answer.

How it works

Webhook or manual trigger receives a task description
LLM creates initial plan + first tool call (or finishes immediately)
Loop:
• Execute chosen tool
• Send observation back to LLM
• LLM reflects → decides next action or finish
When finished → format final answer, save result, send Slack notification

Setup steps

Connect OpenAI (or Anthropic/Groq/Gemini) credential
(Optional) Connect Slack credential for notifications
Replace the placeholder “Other Tools” Code node with real tool nodes (Switch + HTTP Request, Google Sheets, Code node, etc.)
Test with simple tasks first:
• “What is the current weather in Ahmedabad?”
• “Calculate 17×42 and explain the steps”
Adjust max iterations (via SplitInBatches or custom counter) to prevent infinite loops
Activate the workflow and send POST request to webhook with JSON:
{"task": "your task here"}

Requirements

LLM API access (gpt-4o-mini works well for testing) Optional: Slack workspace for alerts

Customization tips

Upgrade to stronger reasoning models (o1-preview, Claude 3.5/3.7 Sonnet, Gemini 2.0) Add real tools: browser automation, vector DB lookup, file read/write, calendar Improve memory: append full history or use external vector store Add cost/safety guardrails (max iterations, forbidden actions)

Contact Us If you need help setting up this workflow, want custom modifications, or have questions about integrating specific tools/services: 🌐 Website: https://www.oneclickitsolution.com/contact-us/