Overview
Qlar is an AI agent platform that lets you build, train, and deploy intelligent assistants — no coding required. Whether you're building a customer support bot, an internal knowledge assistant, or an analytics agent that answers questions about your data, Qlar gives you all the tools in one place.
This guide will walk you through the core concepts so you can start building with confidence.
What is an Agent?
An agent is your AI assistant. It has a name, a personality, knowledge you've provided, and the ability to respond to users through one or more channels (like a web widget or WhatsApp).
Think of it like hiring a new team member — you define their role, give them the information they need, and choose how they interact with customers or colleagues.
How Qlar Works
Qlar is built around a simple three-step loop:
1. Configure
Set up your agent's identity and behavior in the CMS dashboard. You define:
- Persona — the agent's name, tone, and personality
- Knowledge — documents, websites, or database connections the agent can draw from
- Channels — where users will talk to the agent (web widget, WhatsApp, Instagram, etc.)
2. Train & Test
Use the Simulation tool to have test conversations with your agent before going live. See exactly how it responds, tweak its behavior, and make sure it knows what it needs to know.
3. Deploy
Publish your agent and it's live instantly. You can monitor every conversation, track usage, and keep improving over time.
The CMS Dashboard — Your Control Center
Once you log in, the dashboard is organized into sections along the left sidebar. Each section handles one part of your agent.
| Section | What it does |
|---|---|
| Home | Overview dashboard — recent conversations, quick stats, and shortcuts |
| Persona | Agent's name, avatar, tone of voice, and behavior rules |
| Resources | Documents, web pages, and files your agent uses to answer questions |
| Manage | Members, roles, and agent settings |
| Channels | Connect WhatsApp, Instagram, or embed a chat widget on your website |
| Actions | Advanced capabilities — Custom APIs, Plugins, Web Search, Escalation |
| Insight | Analytics, conversation history, and user feedback |
| Simulation | Test your agent with simulated conversations before going live |
Agent Types
When you create a new agent, you pick a type that sets up the right defaults for your use case. Qlar supports:
- SOP & Internal Knowledge — help employees find company information, policies, and procedures instantly
- Data Analytics — analyze data, generate insights, and answer business intelligence questions in plain language
- Customer Support — answer customer queries, resolve issues, and provide instant 24/7 support across all channels
- Custom Solution — build a tailored agent for your unique business needs and specific workflows
Each type comes pre-configured with relevant questions and sensible defaults, so you're not starting from zero.
What You Need to Get Started
- A Qlar account (sign up at qlar.ai)
- Content for your agent — this could be a PDF, a website URL, or just a plain text description of what your agent should know
- About 10 minutes
Next Steps
Ready to build your first agent? Let's Create Your First Agent