An AI agent that runs your WhatsApp chats
Drop an AI Agent into your bot, tell it how to behave in plain words, and switch on the tools it may use — product search, payment links, bookings, handoff. It answers like your best teammate, day and night.
You are the friendly shop assistant for Leaf & Lather, a handmade skincare brand. Recommend products, share prices, and send a payment link when a customer is ready.
ToolsInstructions in plain words, not flowcharts
- Write the agent's role and rules — or let Generate with AI draft them
- Connect a knowledge base so answers come from your own FAQs and price lists
- Switch on the tools it can use: tags, lead score, follow-ups, payment links, product search, bookings, handoff
Routes into the rest of your bot
- Tell the AI when a chat should move to another part of your flow
- Start from templates — Send Pricing Info, Start Checkout, Escalate to Sales, Show Products, Book Appointment, Technical Support
- Exit and On Error paths keep every chat moving, even if the AI fails or credits run out
Your model, your rules
- Choose OpenAI, Google Gemini or Anthropic models
- Tune temperature, reply length, conversation memory and session timeout
- Hand off to a teammate — order-wise or to everyone — when a person should answer
FAQ
Questions people ask about building a WhatsApp AI chatbot
The way business owners ask them, answered in plain words.
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Yes. You tell the AI agent how to behave in plain words, add your own documents such as a price list, a brochure PDF or your policies, and switch on what it may do: search products, send a payment link, take a booking or hand the chat to your staff. There is no code to write.
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Yes. The agent answers from the knowledge base you give it, so a price or stock question gets your answer, at any hour. When it does not know, or the customer asks for a person, it passes the chat to your team.
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Yes. It replies in the language the customer wrote in: English, Tamil, Hindi, Malayalam, Telugu, Kannada or any other, including Tamil typed in English letters.