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Have you ever felt frustrated trying to resolve a problem with a product you purchased or a service you contracted? If so, you’re not alone. After all, customer service and support are undoubtedly one of the biggest challenges for companies in all segments today.
However, what if there was a solution that could serve customers 24/7, with fast responses based on personalized information from the company itself? In this post, we will explore how you can create a virtual assistant with AI agents using NoCode technologies.
The Era of NoCode AI Agents
You AI agents are not new, but their application in customer service processes has proven to be revolutionary. Unlike traditional chatbots, which follow a predefined flow, AI agents use generative artificial intelligence and natural language processing (NLP).
This means that when interacting with an AI agent, the customer feels like they are talking to a real person, capable of understanding nuances and responding in a more elaborate way.
Benefits of AI Agents vs. Traditional Chatbots in Customer Service
- Humanized responses: AI agents use advanced models, such as GPT, to generate responses that appear to have been written by a person, not a machine.
- Flexibility: While traditional chatbots follow rigid scripts, AI agents can be trained with specific data, such as PDFs, spreadsheets, and websites, to answer questions based on the context provided.
- Short-term and long-term memory: AI agents can “remember” previous interactions, offering a more personalized and contextualized experience for the user.
- Advanced functions: In addition to answering questions, AI agents can perform complex functions such as sending emails, checking the weather, interacting with databases, and more.
How to Create Your Own Customer Service Agent
Let's see how you can create a virtual customer service agent using tools NoCode, such as n8n for automations and integrations, and Dify for creating AI agents. With these tools, you can train your agent with personalized data and integrate it with WhatsApp to serve your customers efficiently.
1. Project planning
Before you start building your agent, it’s important to plan your workflow. To do this, you’ll need:
- User interface (frontend): For this application, WhatsApp will be the main interface. This makes the process easier, as it avoids the need to develop an application or website from scratch.
- Backend and database: Here you can use Supabase, a highly efficient NoCode database to store data about agent interactions with users.
- Integration Tool: n8n is a great choice to connect your agent to WhatsApp and manage automations.
- Agent creation tool: Dify lets you create powerful, custom AI agents without the need for coding.
2. Creating the AI agent in Dify
Dify is a NoCode tool that lets you create AI agents trained with custom data. You can train your agent with:
- PDFs: Instructions, FAQs, and product information can be uploaded in PDF format.
- Spreadsheets: Structured data in spreadsheets can be used to answer specific questions, such as courses offered, duration, and prices.
- Websites: information available on the company's website can also be used to enrich the agent's knowledge.
So, in Dify, you can create workflows and set up a base prompt with clear instructions on how the agent should behave in customer service, who they represent, and what their duties are. In addition, you can define “knowledge blocks” that organize the training information efficiently.
3. Automation and integration with n8n
n8n is an automation tool that allows you to connect different services, such as WhatsApp and Supabase, to your AI agent. With it, you can create flows that:
- They receive messages from WhatsApp and forward them to the AI agent.
- Store user interactions in the database.
- They respond to the customer with personalized and contextual information.
For example, when receiving a message from a customer asking about a specific course, n8n forwards that message to the AI agent in Dify, which queries the database and responds with the course details to customer support.
4. Integration with WhatsApp
To connect your agent to WhatsApp, you’ll need a WhatsApp API, such as Zapi, that allows communication between your app and the AI agent. The setup is simple:
- The API webhook receives the message from the user.
- The message is forwarded to n8n, who forwards it to the agent at Dify.
- The agent queries its trained data and responds to the user.
This integration allows your AI agent to chat directly with customers via WhatsApp, providing instant and personalized service.
5. Practical examples
Let’s imagine a practical scenario. You have a company that offers online courses, and you want your AI agent to help students find information about courses and enroll. So, your agent could be trained with:
- Course spreadsheet: including information such as name, duration, price and registration link.
- FAQ PDF: answers to common questions, such as payment methods, access to content, etc.
- Company website: for additional information about the company and its offerings.
This way, your agent can answer questions like:
- “What courses are available on application development?”
- “How do I enroll in the FlutterFlow course?”
- “What is the price of the NoCode Startup course?”
So, in all these interactions, the agent consults the data provided and responds accurately, offering a superior customer service experience.
Conclusion: Best Customer Service with NoCode
With the evolution of NoCode technologies, creating highly efficient customer service agents has never been more accessible. Tools like Dify and n8n allow you to build powerful agents.
By adopting these technologies, you not only improve the customer experience, but also optimize your company’s internal processes. So why not take advantage of this revolution in customer service?
So, if you want to learn more about how to create custom customer service agents and integrate them with WhatsApp, check out the NoCodeIA training.
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