Create a voice assistant interface with OpenAI and text-to-speech
Transform your browser into an interactive AI companion using this workflow that combines a sleek animated interface with OpenAI's powerful language and voice models. Users can engage in natural vocal conversations, as the system handles everything from speech recognition to intelligent responses and audio synthesis. It even includes built-in session memory to maintain context throughout your spoken interactions.
Run this with your team's AIWhat This Recipe Does
This automation serves as the foundation for building custom, interactive AI assistants that bridge the gap between complex backend logic and user-friendly web interfaces. By utilizing webhooks and dynamic HTML rendering, it allows businesses to deploy branded AI interfaces that handle user inquiries in real-time. Instead of relying on generic chat platforms, this workflow enables you to capture user input, process it through your specific business logic, and return a tailored response instantly. This is particularly valuable for companies looking to provide self-service tools, automated customer support, or internal knowledge bases without requiring users to navigate complex databases or technical documentation. The result is a seamless digital experience that increases engagement and reduces the manual workload on support teams by providing immediate, accurate information through a professional web-based portal.
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
Http connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Http 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 leads use this to create custom self-service portals where clients can get instant answers to common product questions.
- Operations Managers deploy this to build internal knowledge assistants that help staff quickly find company policies or procedural documentation.
- Marketing teams use this to create interactive lead generation tools that provide personalized recommendations based on user input.
Frequently Asked Questions
Do I need to know how to code to use this AI assistant?
No. While the workflow uses HTML to display the interface, the Runwork platform handles the conversion into a functional app, allowing you to focus on the logic and user experience.
Can I customize the look and feel of the assistant?
Yes. You can modify the HTML structure to match your brand identity, including custom colors, fonts, and layouts to ensure a consistent customer experience.
How does the assistant respond to users?
The workflow uses a webhook response system, meaning it captures what a user types and immediately sends back a formatted response once your logic has processed the request.
What kind of information can this assistant handle?
It can be configured to handle anything from simple text-based FAQs to complex data retrieval, depending on the additional nodes you connect to the base workflow.
Coming from n8n?
This recipe uses nodes like Webhook, Html, RespondToWebhook, Langchain.agent and 4 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