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

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

Setup steps

1. Connect OpenAI (or Anthropic/Groq/Gemini) credential
2. (Optional) Connect Slack credential for notifications
3. Replace the placeholder “Other Tools” Code node with real tool nodes (Switch + HTTP Request, Google Sheets, Code node, etc.)
4. Test with simple tasks first: • “What is the current weather in Ahmedabad?” • “Calculate 17×42 and explain the steps”
5. Adjust max iterations (via SplitInBatches or custom counter) to prevent infinite loops
6. 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/