This n8n workflow automates the creative process of generating, evaluating, and refining brand names and taglines using AI. It starts with a user trigger, then employs language models to generate multiple naming options based on a product description. The workflow includes steps where an AI critic analyzes each idea for flaws, providing critical feedback. A refiner then uses this feedback to produce improved options. This loop continues for multiple iterations, allowing the system to enhance the ideas continuously. An evaluation agent ranks the final suggestions to determine if they are ready for use or need further improvement. This automation is especially useful for branding teams, marketing agencies, or startups looking to streamline their creative brainstorming and refinement process efficiently.
AI-Powered Name and Tagline Generator with Feedback Loop
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, if, manualTrigger, set, splitInBatches, stickyNote |
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