Getting Started with ClawCloud: Quick Start Guide

Welcome to ClawCloud

ClawCloud is a platform for building, deploying, and managing AI agents that work across multiple channels — web, Slack, Telegram, and more. Whether you want to automate customer support, qualify sales leads, generate content, or build internal tools, ClawCloud gives you the building blocks to deploy intelligent agents in minutes, not months.

This quick start guide walks you through everything you need to know to go from zero to your first deployed AI agent.

Step 1: Create Your Account

Getting started with ClawCloud is straightforward:

Visit the ClawCloud website and click "Get Started" or "Sign Up"
Create your account using your email address or sign in with Google
Verify your email address
Complete the onboarding questionnaire (helps us personalize your experience)
You are in — welcome to your ClawCloud dashboard

Understanding the Dashboard

Your ClawCloud dashboard is your command center. Here is what you will find:

Agents — View and manage all your AI agents
Conversations — Monitor active and historical conversations across all agents and channels
Knowledge Base — Manage the documents and information your agents can access
Analytics — Track performance metrics, usage, and credits
Settings — Configure your account, integrations, and billing
Templates — Browse pre-built agent templates for common use cases

Step 2: Choose Your First Agent

The best way to learn ClawCloud is to build something. We recommend starting with one of these common first agents:

Option A: Customer Support Agent

Best if you want to automate answering customer questions. This agent can handle FAQs, product inquiries, troubleshooting, and basic account management.

Option B: Lead Qualification Agent

Best if you want to capture and qualify leads from your website. This agent engages visitors, asks qualifying questions, and routes hot leads to your sales team.

Option C: Internal Knowledge Base Agent

Best if you want to help employees find information quickly. This agent answers questions about company policies, procedures, and documentation.

Using Templates

ClawCloud provides pre-built templates for each of these use cases:

Go to the "Templates" section in your dashboard
Browse available templates
Select the template that matches your use case
Click "Use Template" — this creates a new agent pre-configured with the template's settings
Customize it for your specific needs

Step 3: Configure Your Agent

Whether you start from a template or from scratch, you will configure these key elements:

Agent Name and Description

Give your agent a clear, descriptive name that your team can easily identify. For example: "Website Support Bot" or "Sales Lead Qualifier."

System Instructions

System instructions tell your agent how to behave. This is the most important configuration step. Good instructions include:

Role definition — Who is the agent? "You are a friendly and helpful customer support agent for [Company Name]."
Behavior guidelines — How should the agent communicate? "Be concise, professional, and empathetic. Use simple language."
Scope boundaries — What should the agent do and not do? "Answer questions about our products and services. Do not discuss competitor products. Do not make promises about features or pricing that are not documented."
Escalation rules — When should the agent hand off to a human? "If the customer is frustrated, requests a human agent, or the question involves billing disputes over $100, escalate to a human team member."

Example System Instruction

Here is an example for a customer support agent:

You are a helpful customer support agent for Acme Software. Your job is to assist customers with questions about our products, troubleshoot common issues, and ensure a positive experience.

Guidelines:
- Be friendly, professional, and empathetic
- Keep responses concise and clear
- Use the knowledge base to provide accurate information
- If you are not sure about an answer, say so honestly rather than guessing
- Do not discuss pricing details — direct pricing questions to our sales team
- If a customer is upset or the issue requires account-level changes, offer to connect them with a human support agent

Information about Acme Software:
- We offer three plans: Starter ($29/mo), Professional ($99/mo), and Enterprise (custom pricing)
- Our support hours are Monday-Friday, 9 AM - 6 PM Eastern
- Technical issues should be reported through our support portal at support.acme.com

Knowledge Base

Upload documents that your agent can reference when answering questions:

FAQ documents — Your most common questions and answers
Product documentation — Feature descriptions, user guides, specifications
Policy documents — Return policies, terms of service, privacy policies
Training materials — Internal knowledge that helps the agent provide accurate answers

Supported formats include PDF, Word documents, text files, and web URLs that the agent can reference.

Model Selection

Choose the AI model that powers your agent:

For most use cases — GPT-4o or Claude 3.5 Sonnet offer the best balance of quality and cost
For simple FAQ agents — GPT-4o Mini or similar efficient models reduce costs for straightforward tasks
For complex analysis — GPT-4 or Claude 3 Opus provide maximum reasoning capability

If you have an OpenRouter API key, you can access the full range of models available through their platform.

Conversation Settings

Configure how conversations work:

Welcome message — The first message visitors see when they interact with your agent
Suggested questions — Pre-defined questions that help users get started
Conversation timeout — How long a conversation stays active without new messages
Maximum conversation length — Optional limit on conversation length to manage costs

Step 4: Test Your Agent

Before deploying to real users, test thoroughly:

Using the Built-in Chat

ClawCloud provides a built-in chat interface for testing:

Open your agent from the dashboard
Click "Test" or "Preview"
Chat with your agent as if you were a customer
Test various scenarios: common questions, edge cases, out-of-scope questions, escalation triggers

Testing Checklist

Run through these scenarios:

Does the agent answer common questions correctly?
Does the agent stay within its defined scope?
Does the agent handle unknown questions gracefully?
Does the agent use the right tone and language?
Does the agent escalate when appropriate?
Does the agent use knowledge base information correctly?
Does the agent handle multi-turn conversations well?
Does the agent respond in a reasonable time?

Iterating on Your Configuration

Based on testing, refine your agent:

Adjust system instructions if the agent's behavior is not quite right
Add more documents to the knowledge base to fill information gaps
Modify the welcome message and suggested questions
Try a different model if quality or speed is not meeting expectations

Step 5: Deploy Your Agent

Once testing is complete, deploy your agent to real users:

Web Deployment

Add your agent to your website as a chat widget:

Go to your agent's settings
Navigate to "Channels" and select "Web"
Customize the chat widget appearance (colors, position, icon)
Copy the embed code
Paste the embed code into your website's HTML (before the closing body tag)
Your agent is now live on your website

Slack Deployment

Connect your agent to Slack:

Go to "Channels" and select "Slack"
Click "Connect to Slack" and authorize the connection
Choose which Slack channels the agent should monitor
Configure whether the agent responds automatically or only when mentioned
Your agent is now active in Slack

Telegram Deployment

Connect your agent to Telegram:

Create a Telegram bot through BotFather (Telegram's bot creation tool)
Copy the bot token
Go to "Channels" and select "Telegram" in ClawCloud
Paste the bot token
Your agent is now available through Telegram

Step 6: Monitor and Optimize

Analytics Dashboard

Once your agent is live, monitor its performance through the analytics dashboard:

Conversation volume — How many conversations your agent handles per day/week
Resolution rate — Percentage of conversations resolved without human intervention
Average conversation length — How many messages per conversation
User satisfaction — If you enable feedback collection, track satisfaction scores
Credit usage — Monitor your credit consumption to manage costs

Reviewing Conversations

Regularly review actual conversations to identify improvement opportunities:

Look for questions the agent handles poorly
Identify common questions that need better knowledge base coverage
Check for tone or behavior issues
Find escalation patterns that might indicate training gaps

Continuous Improvement

Use your findings to continuously improve your agent:

Update the knowledge base with new information and better answers
Refine system instructions based on observed behavior patterns
Add new capabilities as you identify valuable use cases
Adjust escalation rules based on what actually needs human attention
Optimize model selection based on quality and cost data

Tips for Success

Start Small, Scale Quickly

Do not try to build the perfect agent on day one. Deploy a basic version, learn from real interactions, and improve incrementally. A good agent deployed today is better than a perfect agent deployed never.

Invest in Your Knowledge Base

The quality of your agent's answers is directly proportional to the quality of its knowledge base. Spend time creating clear, comprehensive documentation that the agent can reference.

Write Clear Instructions

Ambiguous instructions lead to ambiguous agent behavior. Be specific about what you want the agent to do, how you want it to communicate, and when it should escalate.

Monitor Regularly

Do not set and forget your agent. Regular monitoring catches issues early and ensures your agent continues to meet expectations as your business and customer needs evolve.

Gather Feedback

Ask users about their experience with the agent. Both positive and negative feedback provides valuable insights for improvement.

What to Build Next

Once your first agent is running successfully, consider expanding:

Additional channels — If you started with web, add Slack or Telegram
Additional use cases — Build agents for sales, marketing, HR, or other departments
Advanced integrations — Connect your agent to CRM, ticketing systems, and other business tools
Team access — Add team members to your ClawCloud account to collaborate on agent management
Analytics depth — Set up custom metrics and reports to measure business impact

Conclusion

Getting started with ClawCloud is designed to be fast and intuitive. You can go from account creation to a live, deployed AI agent in under an hour. The key is to start simple, test thoroughly, deploy confidently, and iterate based on real-world performance.

Your AI agent will improve over time as you refine its knowledge base, instructions, and configuration. The sooner you start, the sooner you begin learning and improving.

Ready to build your first AI agent? Sign up for ClawCloud and deploy in minutes.