Building a Custom Voice AI Dashboard: No Coding Required!

Table of Contents

💥 Key Concepts to Build Your Dashboard

1. Getting Started with Lovable

Lovable is your go-to platform for creating your front-end and back-end without any coding experience. It allows for natural language interaction, making it simple to generate your dashboard.

How to Start:

Create a Lovable Account: Your first step is to set up an account at lovable.dev.
Use Natural Language: In the Lovable interface, type specifically what you want your dashboard to do—a dashboard for voice AI, for example.

Tip:

🔍 Be clear and specific in your prompts! The more context you give, the better Lovable can assist you.

2. Connecting to Your Database with Supabase

Supabase serves as the backend for your application, storing all the necessary call details, including transcripts, costs, and durations.

Steps to Connect:

Create a Supabase Account: Similar to Lovable, you need to sign up at supabase.com.
Set Up Your Database: Use Lovable to create a new table titled “transcripts” to hold your data. Lovable will automatically help create the table in Supabase.

Example Scenario: You want the table to store the call ID, duration, cost, assistant name, and created date. Make sure you enable row-level security and set relevant access policies.

Quick Fact:

🗄️ Supabase is an open-source alternative to Firebase, making it a solid choice for real-time apps.

3. Editing the User Interface (UI)

Enhancing your UI is vital for user experience. With Lovable, you can customize your dashboard’s design and elements intuitively.

Design Essentials:

Visual Style: Aim for a sleek, modern design. Choose a dark theme with colors inspired by Supabase’s branding for cohesiveness.
Create Functional Features: Add features like filter options for viewing call data based on various parameters.

Modification Strategy:

✍️ Remember that you can directly edit aspects of the UI by clicking buttons within Lovable. If something feels off, such as date formats or missing buttons, request adjustments through natural language.

4. Utilizing GitHub for Version Control

GitHub acts as your cloud storage for the dashboard project’s source code.

Important Steps:

Create a GitHub Account: Go to github.com and sign up.
Push Your Code: After setting up everything in Lovable, push your project to GitHub. This acts as a backup and makes collaboration easier.

Practical Tip:

🚀 Always commit small changes often. This way, you can track your progress and avoid losing any iterations of your work.

5. Deploying with Vercel

Finally, deployment is crucial for making your application accessible on the web. Vercel simplifies the deployment process.

Steps to Deploy:

Sign Up for Vercel: Go to vercel.com and create an account.
Link your GitHub: Vercel will allow you to import your GitHub repositories. Select your Voice AI dashboard repo and click on deploy.

⚙️ Summary of Key Tools

Lovable: Your main tool for creating the dashboard.
Supabase: For storing and managing your call data.
GitHub: A platform for version control.
Vercel: Easily deploys your application online.

Takeaways

Leveraging these tools allows anyone, regardless of technical background, to create a custom Voice AI dashboard efficiently. By integrating natural language processing, intuitive database management, and straightforward deployment, the dream of utilizing AI becomes accessible to all.

🎉 Final Thoughts

Creating a custom dashboard can be a fulfilling project. Whether for personal interest or client work, seeing your ideas come to life is profoundly rewarding.