Quickstart Guide
Get your AI customer support assistant up and running in under 10 minutes. This guide walks you through creating your first project, connecting knowledge sources, and deploying your AI.Prerequisites
Before you begin, you’ll need:- A botBrains account (sign up if you haven’t already)
- Access to your knowledge sources (documentation, help articles, or FAQ pages)
- A deployment target (your website, Zendesk, or Salesforce)
Step 1: Create Your First Project
- Log in to the botBrains platform
- Click Create Project on the projects page
- Enter a name for your project (e.g., “Customer Support Bot”)
- Click Create
Step 2: Add Your Knowledge
Your AI needs knowledge to answer customer questions. Let’s connect your first knowledge source.Connect a Documentation Site
- Navigate to Data Providers in the sidebar
- Click Add Data Provider
- Choose Website as the provider type
- Enter your documentation URL (e.g.,
https://docs.yourcompany.com) - Configure crawling options:
- Max Pages: How many pages to crawl (start with 100)
- Crawl Frequency: How often to refresh (daily recommended)
- Click Create and Sync
Alternative: Add Knowledge Manually
If you don’t have a documentation site yet, you can add knowledge manually:- Go to Data Providers > Snippets
- Click Add Snippet
- Enter a title and paste your content
- Add relevant tags for better retrieval
- Click Save
Step 3: Configure AI Behavior
Tell your AI how to communicate with customers.- Navigate to Behavior in the sidebar
- You’ll see a default profile - click Edit
- Configure the basic settings:
- Name: Give your AI a name (e.g., “Alex”)
- Tone: Define communication style (professional, friendly, technical)
- Instructions: Provide guidelines for responses
- Click Save
Profiles control how your AI behaves. You can create multiple profiles for different audiences or use cases.
Step 4: Test Your AI
Before deploying to customers, test your AI’s responses directly in the Behavior configuration.- While still in the Behavior tab (from Step 3), look at the preview panel on the right side
- The preview updates in real-time as you configure your AI’s behavior
- Type questions that customers might ask in the test chat
- Review the responses:
- Are they accurate?
- Do they cite the right sources?
- Is the tone appropriate?
- Make adjustments to your instructions on the left and see changes instantly
- Add more specific knowledge to your data providers
- Refine your profile instructions in the Behavior tab
- Test with different example questions to ensure consistency
Step 5: Deploy Your AI
Now deploy your AI to start helping customers. Choose the integration that matches your workflow:Website Integration
Add a chat widget to your website with customizable styling.
Zendesk Integration
Automate ticket responses and field predictions in Zendesk.
Salesforce Integration
Handle cases in Salesforce Service Cloud with AI assistance.
Slack Integration
Bring AI support directly into your team’s Slack workspace.
Step 6: Monitor and Improve
After deployment, continuously improve your AI:- Review Conversations: Go to Conversations to see how your AI is performing
- Check Topics: Visit Topics to understand what customers are asking about
- Analyze Metrics: Review Metrics for performance data
- Add Knowledge: When you spot gaps, add more knowledge sources or snippets
- Refine Behavior: Update your profile instructions based on real interactions
Common Next Steps
Once you’re up and running:- Set up Escalations - Configure when to hand off to human agents
- Create Audiences - Personalize responses for different customer segments
- Add More Data Sources - Connect additional knowledge repositories
- Configure Triggers - Automate workflows based on conversation events
- Invite Your Team - Add team members and assign roles
Getting Help
Need assistance? Here are your resources:- Documentation: Browse our comprehensive docs
- Support: Email support@botbrains.io
- Platform: Use the in-app chat for quick questions
What You’ve Accomplished
You’ve successfully:- ✅ Created your first botBrains project
- ✅ Connected knowledge sources
- ✅ Configured AI behavior
- ✅ Tested responses
- ✅ Deployed your AI to customers
- ✅ Set up monitoring