AI Agent Tools 2026 Complete Tutorial: 5 Tools to Build an Automated Pipeline in 30 Minutes
Build AI automation workflow from scratch, OpenClaw + n8n + OpenRouter combination in practice
Editorial original
Written by WayToClawEarn editorial; cite this page as the primary analysis.
AI Agent tool practical tutorial: from installation to automated workflow
Tutorial Objectives
In 45 minutes, build an automated workflow based on AI Agent from scratch, covering OpenClaw deployment, n8n workflow concatenation, and OpenRouter model access.
What will you build?
- Local OpenClaw Agent environment (5 minutes to get started quickly)
- n8n workflow serial AI tool (automated task orchestration)
- OpenRouter access to multiple models (cost optimization + backup plan)
- A production-ready AI automated assistant
Preparation list
- An internet-connected computer (macOS/Linux/Windows)
- Access to GitHub and npm/yarn -Basic command line experience
- Curiosity about AI tools
Why choose this combination?
In actual operations, we found that OpenClaw + n8n + OpenRouter is the most cost-effective combination for small and medium-sized teams:
| Tools | Usage | Monthly Cost |
|---|---|---|
| OpenClaw | AI Agent Scheduling + Task Management | $0 (Open Source) |
| n8n | Workflow automation orchestration | $0 (self-hosted) |
| OpenRouter | Multi-model access + cost control | $20-50 |
The advantage of this combination is that OpenClaw is responsible for AI logic and task disassembly, n8n is responsible for external systems and scheduled triggering, and OpenRouter is responsible for calling the most appropriate model on demand.
If you only use OpenAI ChatGPT, the monthly cost may be more than $100. OpenRouter allows you to switch between GPT-4o, Mistral, and Claude, with the cost reduced by 60%.
Step 1: Install OpenClaw (5 minutes)
Basic environment check
# Node.js ( v18+)
node --version
# : v18.x.x
# npm
npm --version
# : 9.x.xOpenClaw
# npm
npm install -g openclaw
#
openclaw --version
#
mkdir ai-agent-workspace && cd ai-agent-workspace
# OpenClaw
openclaw init
# APIOpenClaw SOUL.md、AGENTS.md 。 Claude Code,——"Agent "。
2 OpenRouter (10 )
OpenRouter
- GPT-4o ,($5/1M tokens)
- Claude 3.5 ,
- ,
OpenRouter API ,, 50+ 。
OpenRouter API Key
- openrouter.ai
- API Key
- $20 ()
OpenClaw OpenRouter
# OpenClaw
cat > openclaw.json << 'EOF'
{
"model": "openrouter/openai/gpt-4o",
"fallbacks": [
"openrouter/mistral/mistral-medium",
"openrouter/anthropic/claude-3-opus"
],
"api_base": "https://openrouter.ai/api/v1",
"api_key": "sk-or-v1-your-key-here"
}
EOF
# GPT-4o
openclaw chat --model openrouter/openai/gpt-4o --prompt "Hello"
# Claude Opus
openclaw chat --model openrouter/anthropic/claude-3-opus --prompt "Hello"
#
openclaw cost-log
`__TOK16 __`bash
# Docker ()
docker run -d \
--name n8n \
-p 5678:5678 \
-v n8n_data:/home/node/.n8n \
n8nio/n8n
# npm
npm install -g n8n
n8n startAI
- Workflow
- Schedule Trigger()
- OpenClaw Node( Agent)
- Telegram/Email Node()
// OpenClaw Node
{
"model": "openrouter/openai/gpt-4o",
"prompt": " SEO , 3 ",
"api_base": "https://openrouter.ai/api/v1",
"api_key": "sk-or-v1-your-key"
}
## Schedule Trigger
↓
[OpenClaw Agent] → SEO
↓
[Condition] → ?
Yes → [Email Notification]
No → [Log & Skip]4 LangChain (10 )
LangChain
OpenClaw Agent ,n8n , RAG() Memory ,LangChain 。
# langchain-openai langchain-community
pip install langchain-openai langchain-community
# RAG
from langchain_openai import ChatOpenAI
from langchain_community.retrievers import TavilySearchAPIRetriever
llm = ChatOpenAI(
model="gpt-4o",
openai_api_base="https://openrouter.ai/api/v1",
openai_api_key="sk-or-v1-your-key"
)
#
retriever = TavilySearchAPIRetriever(k=5)
docs = retriever.get_relevant_documents("OpenClaw ")
response = llm.invoke(f": {docs}")OpenClaw
LangChain ,OpenClaw ,
5 (5 )
OpenRouter
- $50
- $5
- 80%
| gpt-4o-mini gpt-4o | 95%, 3 |
| Claude Haiku | $0.001 |
#
openclaw cost-log --period week
#
openclaw cost-log --model-breakdownQ1OpenClaw "Permission denied
#
chmod +x $(which openclaw)
#
npm uninstall -g openclaw && npm install -g openclawQ2OpenRouter API 401
- API Key
- openrouter.ai/keys
Q3n8n
- OpenClaw Agent
- n8n
docker logs n8n - Confirm that the webhook URL is reachable
Tool entry quick check
| Tools | Usage | Cost |
|---|---|---|
| OpenClaw | AI Agent Scheduling | Open Source and Free |
| n8n | Workflow automation | Open source and free |
| OpenRouter | Multi-model access | $0.5-5/1M tokens |
| LangChain | RAG + Knowledge Base | Open Source and Free |
| Claude Code | Code writing assistance | $3-15/1M tokens |
Next action
- Complete the above 5-step installation
- Run your first automated workflow
- Monitor costs for a week and optimize model selection
- Integrate this process into your content publishing system
If you encounter problems, please leave a message at waytoclawearn.com and I will update the FAQ section.
Related Tools: OpenClaw, n8n, OpenRouter, LangChain, Claude Code
Related tutorials
How to Use OpenAI Codex CLI: Build & Deploy Apps from Terminal (2026)
If you want to build and deploy full-stack applications directly from your terminal without opening an IDE, this tutorial walks you through Codex CLI installation, multi-file editing, sandbox-safe execution, and one-command deployment.
AI Coding Agents Complete Guide: Setup, Security, Workflow & Case Studies
If you are researching AI coding agents and want to know which one to use, how to set it up safely, and what real developers are building with them — this hub organizes every tutorial, case study, and comparison we have published. Start with the decision guide below to find the right path for your skill level and goals.
How to Build an AI Agent in n8n: Complete Beginner Guide 2026
If you want to build an AI agent in n8n that fetches GitHub pull requests and sends Slack summaries — this tutorial gives you the complete step-by-step guide, from Docker self-hosting to a deployed agent with memory, tools, error handling, and production security in about 45 minutes.
Topic hub
AI Agent Tutorials & Workflow Guides
Evergreen how-tos for coding agents, content pipelines, and n8n automation—linked to news context and real earn cases.
Explore AI Agent Tutorials & Workflow Guides →Monetization angle
How can you make money from this trend?
WayToClawEarn focuses on verified earn playbooks—not just news. Start from these cases.
DeepSeek + Claude Code Micro SaaS
Run multiple small products on cheap inference
Claude Code bug bounty
Productize agent skills into security services
Related tutorials
Related news
- llama.cpp Adds Native Decision Model Support: 5 Open GGUFs, How to Cut Agent Routing Cost?
- Xiaomi MiMo-V2.6-Pro Hits Agent Arena: #5 Open-Source, #2 in Confirmed Success — How to Choose Agent Models?
- LangChain Open-Sources Model Router: 64% Cost Cut in Agent Coding with No Quality Loss — How to Build Yours
- Karpathy Proposes 4-Rung LLM Output Ladder: STE100, Diagrams, HTML, Video — How Humans Understand Autonomous Agent Work?