Skip to main contentWelcome to the Chatling documentation. This is your end-to-end guide to the platform that explains core concepts, walks you through setup and deployment, and helps you get the most out of the platform.
What is Chatling?
Chatling is a no-code platform that lets you build conversational AI agents in minutes, trained on custom data, such as business websites, company policies, knowledge bases and documents.
Deploy your agents seamlessly on your website and other channels to automate customer support, capture and qualify leads, and deliver accurate answers.
Products
There are two types of products available in the Chatling platform.
1. AI Agents
Outcome-driven assistants that understand intent and act autonomously. Agents follow your instructions, use your knowledge, and invoke custom actions to fetch/store/update data and complete tasks—no flow building required.
2. AI Chatbots
Flow-based bots you design with a visual builder. Define steps, branches, and messages to create predictable, guided experiences (menus, FAQs, forms) with optional AI answers—ideal where tight control and consistency matter.
Difference between AI Agents and AI Chatbots
The main difference between AI agents and chatbots is how they handle conversations and tasks.
Chatbots
Chatbots operate using prebuilt flows—structured, step-by-step conversation paths that you design ahead of time in the visual builder.
When a user interacts with a chatbot, it follows a predetermined script: if the user says X, the bot responds with Y, then moves to the next predefined step. This flow-based approach makes chatbots ideal for repetitive, predictable scenarios like FAQ responses, appointment booking, or lead qualification where you know exactly what questions to ask and in what order.
The trade-off is that chatbots struggle with unexpected inputs or complex conversations that deviate from the designed flow.
AI Agents
AI Agents work fundamentally differently—they don’t follow rigid flows. Instead, they plan and execute actions dynamically based on the conversation context, the instructions you provide, and the tools/actions you’ve configured.
When a user makes a request, an AI Agent interprets the intent, determines what needs to be done, and decides which sequence of actions to take in real-time.
For example, if a user asks to “check my order and update the shipping address,” an AI Agent can autonomously decide to first query the order database, then update the address in your CRM, without you having to map out this specific flow in advance. This makes AI Agents significantly more flexible and capable of handling complex, multi-step interactions that would be impractical to predefine.
A major advantage of AI Agents is their multi-channel capability. You can connect multiple platforms—such as Web, WhatsApp, and Instagram—to a single agent. This allows you to maintain one unified system that handles conversations consistently across all channels, rather than building and maintaining separate chatbots for each platform. Updates to the agent’s knowledge, instructions, or capabilities instantly apply everywhere.
Documentation
To get started, explore the documentation for the product you’re interested in.
