This n8n workflow automates the process of monitoring specific Twitter mentions and evaluating whether they are suitable for engagement. It triggers on Slack messages related to AI tools, fetches the content of tweets, and uses AI models to analyze the tweets’ intent and relevance. If a tweet asks a question about AI tools in a way that aligns with the workflow’s criteria, it crafts a helpful reply with a relevant link from the AI Tools directory and posts it back on Twitter. The workflow also manages reactions on Slack and Twitter to indicate the response’s status. This setup is ideal for social media community managers seeking to automate engagement with relevant, question-oriented tweets to grow their AI tools’ presence and provide value to their audience.
Automated Twitter Response for AI Tool Recommendations
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, filter, httpRequest, if, set, slack, slackTrigger, stickyNote, twitter, wait |
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