Let’s be real here. We all love our customers… mostly for the money they bring in. But sometimes? Sometimes they’re like toddlers having a meltdown in the grocery store. Same energy, same repetitive questions, same ability to make you question your life choices.

They’re both equally annoying, and sometimes they drive you up the wall. The inbox of customer support personnel is nothing less than a haunted house, with the same questions over and over. Customers wait hours for responses.

Why should your business have a customer support Agent?

Traditional customer support comes with endless frustrations:

• Repetitive questions eat up your team’s valuable time.
• Support ticket backlogs that seem to grow faster than you can clear them.
• Training costs for new staff members.
• Inconsistent responses that confuse customers.
• Limited availability when customers need help most.

So, our in-house Agent expert Bani created Jenna, a smart AI Agent that eliminates these pain points by providing intelligent, consistent support around the clock.

It pulls information directly from your company’s Knowledge Base, meaning she never makes things up or gives outdated responses.

Try Jenna here: ​No-code automation solution with AI Customer Support Agent

So, how can you build your own Jenna?

You can build your customized customer support Agent without writing a single line of code. Here’s exactly how we did it:

Set up your foundation

1. Navigate to hellotars.com and create your account.
2. Access the No-Code AI Agent builder dashboard.
3. Click “Create from scratch” and name your Agent.
4. Start with a blank canvas that will become your customer support workflow.

Create your welcome experience

1. Add your first “Gambit” (conversation step) using the basic Gambit option.
2. Name it, following best practices with underscores instead of spaces.
3. Craft your greeting messages that introduce your AI Agent and end with “How can I help?”.
4. Set user input to “none” since this is just an introductory message.
5. Save and test by publishing to see how it looks.

Add AI intelligence

1. Select your LLM model for optimal performance.
2. Enable chat history to maintain conversation context.
3. Customize the base prompt with specific instructions:
   • Define the Agent’s role and responsibilities.
   • Set strict parameters (always use Knowledge Base, never make up information).
   • Establish tone guidelines (friendly, concise, well-formatted responses).
   • Provide examples of good responses for different inquiry types.

Connect your Knowledge Base

1. Create your Knowledge Base in the Tars dashboard.
2. Use your website URL as the data source (simplest option).
3. Let it train on your website and help docs (like feeding it brain food).
4. Connect everything together!

Add real-time information access

For frequently changing information like pricing:

1. Add a Firecrawl web tool to extract real-time data.
2. Configure specific instructions in your prompt for when to use live scraping.
3. Prioritize live data over static Knowledge Base information for critical pages.

Customize and launch

1. Design your Agent’s appearance with your company logo and branding.
2. Customize the Agent’s name and choose an appropriate voice.
3. Set up a custom URL using your company name.
4. Publish your Agent and test all functionality.

Common worries (And why they’re not actually worrying)

“What about complex issues?” Jenna knows when she’s out of her depth and can pass tough questions to humans with full context.

“Will it sound robotic?” Only if you make it sound robotic. You control the personality.

“What if it breaks?” It won’t. But if something weird happens, there’s support (ironic, right?).

The bottom line

Ready to join the businesses that are already sleeping better at night? Sign up and build your customer support AI Agent today. Your sanity will thank you.

P.S. – Still on the fence? Try it for free. Worst case scenario, you waste an hour and learn something new. Best case scenario, you improve your customer support and become the office hero. Pretty good odds, right?