Created by Nate Herk, this no-code system uses a Slack trigger to dynamically select the best large language model based on user input. The workflow routes tasks to free or cost-effective models (e.g., Gemini 2.0 Flash, GPT 4.1 Mini, Claude 3.7 Sonnet) via OpenRouter. It integrates logging with Google Sheets and employs Superbase for RAG-based document querying, optimizing performance and cost. Free template resources are available through the Skool community.

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