How Does Tiny Talk AI Work?

Tiny Talk AI works by transforming your existing content into an intelligent knowledge base that its AI-powered chatbots can then use to interact with users. It’s essentially about giving a chatbot a “brain” filled with your specific business information.

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Here’s a breakdown of the process:

1. Bot Creation: You start by creating a new bot within the Tiny Talk AI platform and giving it a name.
2. Knowledge Base Training: This is the crucial part. You train your bot by feeding it your data. This can be done in several ways:
   • Uploading Documents: You can upload various file types like PDFs, technical documents, product manuals, white papers, ebooks, and FAQs. Tiny Talk AI extracts the relevant data from these documents.
   • Crawling Websites: You can provide a single URL or have the system crawl an entire website, selecting specific pages to include in the chatbot’s training.
3. Data Extraction and Knowledge Base Creation: Once your content is uploaded or crawled, Tiny Talk AI extracts the necessary information and builds a “knowledge base” for your chatbot. This is the information repository the bot will refer to when answering questions.
4. Bot Personalization: You then get to customize your bot’s personality and appearance:
   • System Prompt: You can set a “system role prompt” to define the chatbot’s tone and behavior, giving it specific instructions on how to reply and what guardrails to follow. This controls whether it’s casual, formal, humorous, etc..
   • Avatar and Name: You can set an avatar and a name for your bot.
   • Interface Customization: You can adjust the colors of the chat interface to match your brand, as well as set welcome messages and suggested conversation starters for users.
5. Integration with LLMs: Tiny Talk AI leverages various Large Language Models (LLMs), including OpenAI’s GPT models (like GPT-3.5 and GPT-4, though GPT-4 might require higher tiers or your own key). It also supports models from Google and Anthropic, and integrates with over 20 other AI models via OpenRouter. When a user asks a question, the bot uses these LLMs, along with its trained knowledge base, to formulate a response.
6. Deployment: Once your bot is trained and customized, you can deploy it:
   • Website Embed: The most common way is to embed it directly onto your website using a simple HTML iframe or a chat widget script.
   • API Access: For more advanced uses, you can access the bot via API, allowing integration with other applications.
   • WhatsApp Integration: You can also connect it to WhatsApp for customer interactions.
7. Real-Time Interaction and Lead Management: Users can then interact with your bot in real-time. If you’ve enabled lead generation, the bot can collect information from visitors, and you can access these leads from your dashboard.
8. Analytics and Monitoring: The platform provides analytics to help you understand how users are interacting with your bot, allowing you to refine its performance over time.

In essence, Tiny Talk AI acts as the bridge between your business’s information and an intelligent AI chatbot, making it easy to create a knowledgeable virtual assistant without needing deep technical expertise. Tiny Talk AI Features

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