AI-powered social media thought leadership with Claude Sonnet & Trigify
Needs changesWhat this workflow does
This AI workflow has 10 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Anthropic Chat Model, HTTP Request and Slack. It also calls api.openai.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- If: checks a condition and branches into true / false
- Validate Post (AI Agent): runs an AI agent, with model: Anthropic Chat Model; output parser: Structured Output Parser
- If: checks a condition and branches into true / false
- Write Comment (AI Agent): runs an AI agent, with model: Anthropic Chat Model; 1 tool (Search Web)
- Edit Fields (Edit Fields (Set)): sets 3 fields: Post URL, Suggested Comment, output['post summary']
- Slack: uses Slack
Services it uses
HTTP calls to: api.openai.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- HTTP Request Tool (legacy) in Search Web: replace with HTTP Request node connected to the AI Agent's Tool input.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| HTTP Request Tool (legacy) Search Web | HTTP Request node connected to the AI Agent's Tool input |
Nodes used (8)
- Webhook
n8n-nodes-base.webhook - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTTP Request Tool
@n8n/n8n-nodes-langchain.toolHttpRequest - If
n8n-nodes-base.if - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set - Slack
n8n-nodes-base.slack
From the author
An intelligent system that monitors social media conversations, identifies high-value engagement opportunities, and generates strategic comments to establish thought leadership while adding genuine value to discussions. Overview This automation workflow…