Can the chat widget match my website's design?

Yes. The widget is customizable with your brand colors, logo, and font. You can also adjust its position on the page and the style of the chat bubble. The goal is to make the widget feel like a natural part of your website.

How many simultaneous chats can the agent handle?

The agent can handle hundreds of simultaneous conversations without degradation. Each conversation is independent, so one slow response does not affect other customers. Human agents on your team are the bottleneck for escalated chats, not the bot.

Can I see the full chat history for each customer?

Yes. All chat transcripts are saved in the RunTheAgent dashboard and linked to the customer's identifier. You can search, filter, and review past conversations for quality assurance, training, or dispute resolution.

Support

Live Chat Support: Real-Time Assistance

Deploy a live chat experience powered by your OpenClaw agent that resolves issues in real time and hands off to humans when needed.

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What You Will Get

After completing this guide, your OpenClaw agent will power a live chat widget that provides instant support to your customers. The agent handles routine questions, troubleshoots common issues, and collects context from the customer before escalating to a human agent when necessary.

Live chat is the fastest way for customers to get help. Unlike email, where responses take hours, your agent responds in seconds. Unlike phone support, live chat lets customers multitask while getting help. The agent can handle multiple conversations simultaneously, so there is no queue or hold time for routine inquiries.

When the agent encounters a question it cannot resolve, it transfers the conversation to a human agent along with the full chat history and a summary of the issue. The human agent picks up where the bot left off without asking the customer to repeat themselves. This smooth handoff creates a seamless support experience.

Step-by-Step Setup

Set up live chat powered by your OpenClaw agent.

Enable the Chat Widget

In your OpenClaw agent on RunTheAgent, go to the Channels tab and select Web Chat. Enable the widget and customize its appearance, including colors, position on the page, and the welcome message. Copy the embed code that RunTheAgent provides.

Add the Widget to Your Site

Paste the embed code into your website's HTML, just before the closing body tag. The widget will appear as a chat bubble on your pages. Verify that it loads correctly on both desktop and mobile by visiting your site and clicking the bubble.

Configure Greeting and Routing

Set up the initial greeting message that customers see when they open the chat. You can also add a pre-chat form that asks for the customer's name and a brief description of their issue. This information helps the agent provide a faster, more relevant response.

Define Conversation Flows

In the agent's system prompt, define how the agent should handle different types of conversations. Specify which topics the agent should resolve autonomously and which should be escalated. Include troubleshooting steps for common issues so the agent can guide customers through solutions.

Set Up Human Handoff

Configure the escalation path for conversations that need human help. When the agent decides to escalate, it should summarize the issue, tag the conversation with a category, and route it to the appropriate human agent or team. Set business hours so after-hours escalations create tickets instead of waiting for unavailable staff.

Test the End-to-End Flow

Open your website in a private browser window and start a chat. Test routine questions, complex issues that should trigger escalation, and edge cases like empty messages or profanity. Verify that the widget behaves correctly, the agent responds appropriately, and handoffs work as configured.

Go Live and Monitor

Enable the widget for all visitors and monitor the first few days of conversations from the RunTheAgent dashboard. Review chat transcripts for quality, track resolution rates, and note any topics where the agent struggles. Use these insights to improve the agent's system prompt and knowledge base.

Tips and Best Practices

Set Expectations Early

Let customers know they are chatting with an AI agent that can handle most questions and will connect them to a human if needed. Setting this expectation upfront builds trust and reduces frustration when the agent cannot answer something.

Minimize Pre-Chat Friction

Keep the pre-chat form short. Ask only for the customer's name and a one-line description. Long forms discourage customers from starting a chat. The agent can collect additional information during the conversation as needed.

Monitor Response Quality Daily

Review a sample of chat transcripts every day during the first month. Look for incorrect answers, awkward phrasing, or missed escalation triggers. Early monitoring helps you fine-tune the agent quickly and ensures customers get a positive experience from the start.

Frequently Asked Questions

FAQ Bot: Self-Service Support Escalation Management Customer Satisfaction Tracking

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