Smart chat routing between Gemini and GPT models based on query complexity
This intelligent workflow evaluates incoming chat messages to determine their complexity level before assigning them to the most suitable AI model. By routing simple tasks to budget-friendly LLMs and reserving high-performance models for difficult queries, users can significantly reduce API costs without sacrificing quality. It is a scalable solution for building efficient, cost-aware AI agents and customer support bots.
Run this with your team's AIWhat This Recipe Does
This AI Chatbot automation transforms your static business information into an interactive, intelligent application. By leveraging advanced language models, this tool allows you to create a dedicated interface where team members or customers can get instant answers based on your specific operational guidelines. Instead of searching through endless documents or waiting for a colleague to respond, users can interact with a custom-trained assistant that understands the nuances of your business. This automation significantly reduces the time spent on repetitive inquiries and ensures that information is accessible 24/7. By converting this n8n workflow into a Runwork app, you provide your team with a professional, user-friendly portal that enhances decision-making and streamlines communication. The result is a more agile organization where knowledge is democratized and employees are empowered to find the information they need exactly when they need it. It eliminates the friction of information silos and allows your staff to focus on high-value strategic tasks rather than routine information retrieval and manual support.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Langchain.agent, Langchain.chatTrigger, Langchain.modelSelector, Langchain.lmChatOpenAi, Langchain.lmChatGoogleGemini connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Langchain.agent and Langchain.chatTrigger once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Customer Support teams use this to provide instant, accurate answers to common product inquiries, reducing ticket volume and response times.
- HR Departments implement this as an internal concierge to help new hires navigate company policies, benefits, and onboarding documentation.
- Sales representatives utilize the chatbot to quickly reference technical specifications, pricing tiers, or competitive battlecards during client negotiations.
Frequently Asked Questions
Do I need coding skills to launch this?
No, Runwork handles the technical deployment by turning the underlying logic into a polished, professional interface for your users.
Can I update the information the AI uses?
Yes, you can easily modify the source data or prompt instructions within the workflow to ensure the chatbot remains accurate as your business evolves.
Is the conversation history saved?
The system is designed to handle real-time interactions, and you can configure additional storage steps in the workflow to log and review user queries.
Can I brand the chatbot interface?
Absolutely. The Runwork platform allows you to customize the look and feel of the final application to align with your company branding.
Coming from n8n?
This recipe uses nodes like Langchain.agent, Langchain.chatTrigger, Langchain.modelSelector, Langchain.lmChatOpenAi and 2 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork