Overview
I built an AI Call Agent Platform that helps businesses automate outbound calls, track real-time progress, and analyze call performance—all in one place. Users can import leads, initiate AI-driven calls, and explore detailed call insights effortlessly. The platform is designed for businesses looking to streamline their sales, follow-ups, and customer interactions using AI.
Key Features
- AI-Powered Call Automation: Handles outbound calls, ensuring efficient lead engagement.
- Real-Time Call Monitoring: Tracks ongoing calls with live updates on call status and outcomes.
- Lead Management System: Allows users to import and organize lead data for better call targeting.
- Detailed Call Analytics: Provides insights on call success rates, durations, and customer responses.
- User-Friendly Dashboard: Intuitive interface with seamless navigation for managing calls and analytics.

Tech Stack
- Next.js – Ensures fast, scalable, and SEO-friendly performance.
- TypeScript – Improves code reliability and maintainability.
- TailwindCSS – Enables a clean, responsive UI for smooth user interactions.
- Supabase – Provides real-time database updates and authentication.
Key Learnings from This Build
- Real-Time Data Handling: Mastered Supabase’s real-time syncing for smooth call progress tracking.
- Scalable System Design: Built a structure that supports growing call volumes efficiently.
- Optimized API Performance: Ensured fast data retrieval for a lag-free experience.
- User-Centric UI/UX: Focused on making the platform intuitive and accessible for all users.

Conclusion
This AI Call Agent Platform revolutionizes outbound calling, automating conversations while providing deep insights into call performance. By combining AI-driven automation with a seamless user experience, it helps businesses increase efficiency, save time, and improve customer engagement effortlessly.