Train and deploy ML models with Claude and Slack approval
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 24 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Anthropic Chat Model and Slack.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- P1: Plan ML Strategy (Basic LLM Chain): sends a prompt to an LLM, with model: P1: Anthropic Sonnet
- P1: Parse Strategy (Code): runs custom JavaScript code
- P1: Log Strategy (HTTP Request): calls an HTTP API (POST)
- P2: Fetch CSV (HTTP Request): calls an HTTP API
- P2: Clean Data (Code): runs custom JavaScript code
- P2: Log Data Eng (HTTP Request): calls an HTTP API (POST)
- P3: Reason About Features (Basic LLM Chain): sends a prompt to an LLM, with model: P3: Anthropic Haiku
- P3: Parse Feature Plan (Code): runs custom JavaScript code
- P3: Engineer Features (Code): runs custom JavaScript code
- P3: Log Feature Eng (HTTP Request): calls an HTTP API (POST)
…plus 9 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- Webhook
n8n-nodes-base.webhook - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Slack
n8n-nodes-base.slack
From the author
What this workflow does This workflow automates the full machine learning lifecycle end-to-end using Claude AI as the intelligent decision-maker at every stage. Send one HTTP request with a dataset URL and a business goal — and the pipeline handles everything…