n8n Operations Pack — 4 Workflows
Add AI reasoning to your n8n automations with 4 Think-Plan-Act workflows
What This Pack Does
This pack bundles four n8n workflows that add advanced AI reasoning to your automations. Each workflow implements a Think-Plan-Act architecture using LLMs like Llama-4 or GPT-4. They enable agents to analyze tasks, plan steps, execute actions, and output structured JSON. The workflows are plug-and-play and include prompts, schemas, agent loops, and tools for intelligent task execution. Two workflows specifically use Llama-4 reasoning, one uses GPT-4 with multi-step reasoning, and one combines Think-Plan-Act with an agent loop and structured outputs. Together, they provide a foundation for building AI agents that can reason before acting, making automations more reliable and intelligent. All workflows are customizable and importable into n8n.
Who It's For
Operations teams, automation engineers, and developers using n8n who want to integrate LLM-powered reasoning into their workflows. Ideal for those building AI agents that need to plan, act, and reflect on tasks. Also suitable for teams exploring agentic automation with structured outputs.
Highlights
- Adds Think-Plan-Act reasoning to n8n automations
- Includes agent loops and structured JSON outputs
- Supports Llama-4 and GPT-4 LLMs
- Plug-and-play with prompts and schemas included
- Customizable for various operational tasks
Included Workflows(4)
Example Use Case
Imagine a customer support team automating ticket triage. They import the Llama-4 Think-Plan-Act workflow to analyze incoming tickets, plan resolution steps, and execute actions like updating statuses or escalating. For complex issues, they use the GPT-4 multi-step reasoning workflow to reflect on previous actions and refine responses. The structured JSON output feeds into their CRM, ensuring consistent handling.
Primary Integrations
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