Como integrar Chatgpt en WhatsApp

Natural and smart conversations have become a standard expectation of consumers today. It’s vital that organizations can engage audiences with reliable, trusted and automated content at scale. The introduction of MyLINK Connect's Smart Suit AI features now empower organisations to strike the perfect balance between generative AI conversations and conditional logics when required.

Enjoy Chatbot Builder Plug-In AI Capabilities

MyLINK Connect’s Smart Suite empowers businesses to create AI chatbots that adapt dynamically to user needs. With the ability to integrate custom Large Language Models (LLMs) such as OpenAI’s ChatGPT or Google’s Gemini, and train them on proprietary (organization specific) business data, this tool opens up unprecedented possibilities for tailored chatbot solutions.

What Sets Our AI Chatbot Builder Apart?

The Smart Suite is more than just a chatbot builder tool—it’s a truly dynamic and intelligent function. By combining advanced LLMs with proprietary Natural Language Processing (NLP) technology and conditional logic, the suite enables seamless transitions between conversational, human-like responses and structured, rule-based outputs.

Here’s why Connect's no-code chatbot builder is a game-changer:

Human-Like Responses with LLMs:

Your chatbot can leverage LLMs like ChatGPT or Gemini to deliver natural, engaging conversations. This ensures users feel heard and understood, even in complex scenarios.

Proprietary NLP for Precision:

Proprietary NLP: Responses given based on given information or data specific to your organization.

When exact answers matter, proprietary NLP steps in to provide accurate responses aligned with your specific organisation in mind. This is especially valuable for sensitive information or industry-specific interactions.

Dynamic Adaptability:

The suite integrates real-time data, so your chatbot stays current with the latest updates, such as product availability or policy changes.

Custom Business Logic:

Tailor workflows and set triggers to define when the chatbot uses generative AI versus rule-based responses. In addition, apply rules and standards for your chatbot’s values and personality in responses.

Smart Training

Incorporate internal resources such as HR manuals, product catalogues, or educational materials to ensure your chatbot reflects your business’s voice and knowledge.

Seamless Conversational Switching

Transition between human-like and conditional interactions based on conversation demands for a flexible and effective user experience. Why not also hand over to the real humans when necessary with the Connect app and platform access?

Real-Time Data Integration

Sync with external APIs or internal databases to provide up-to-the-minute information, from stock levels to policy updates.

Use Connect’s Visual Chatbot Builder and AI for Impressive Results

Retail Website Chatbot:

Trained with: Product catalogs, customer reviews, and purchase history.

Outcome: Personalized product recommendations adapt dynamically to stock levels and promotions.

WhatsApp Chatbot:

🤷‍♀: I need a gift for my friend’s 30th Birthday.

🤖: What’s your budget?

🤷‍♀: 25

🤖: Great! Here are some ideas. Feel free to tell me about their hobbies so I can refine suggestions.

Healthcare Assistance Chatbot

Trained with: Medical guidelines, diagnostic protocols, patient FAQs.

Outcome: Provides accurate advice tailored to the healthcare services offered.

Intranet Chatbot:

🤷‍♀ How many vacation days am I entitled to?

🤖 You are entitled to 25 days of annual vacation. You have used 18 of your 25-day allowance so far this year. Can I help you with anything else?

Customer Support Chatbot

Trained with: Product manuals, troubleshooting guides, and customer service logs.

Outcome: Diagnoses issues with proprietary products and suggests resolutions based on internal data.

Why Choose Custom LLM Integration?

Full Control: Train the chatbot on your own data, ensuring accuracy and alignment with your unique business needs.

Privacy & Security: Keep sensitive data internal, reducing risks associated with external data sources.

Continuous Learning: Update the LLM with new information, ensuring your chatbot evolves alongside your business.