This Voice AI App Lets Angel and Devil Argue on Your Behalf | Built with Vapi & Groq
Skills:
Agent Foundations90%Tool Use & Function Calling80%Multi-Agent Systems70%Autonomous Workflows60%
Meet Shararat ("शरारत", meaning mischief) — a voice AI experience where your choices are debated by two AI personas:
💡 Angel – calm, wise, always guiding you to the safer path.
🔥 Dan (short for Do Anything Now) – impulsive, adventurous, and always ready to stir up trouble.
In this demo, you'll see:
✅ Real-time conversation handoff between multiple AI assistants
✅ Subtle visual cues and animations to indicate assistant transitions
✅ Live keyword extraction from speech
✅ Fast, multi-agent LLM orchestration using Groq and Vapi
Shararat is more than a technical showcase — it’s a playful take on how voice agents can embody conflicting perspectives and drive decision-making through natural conversation.
Whether you're here for the tech, the design, or just a bit of mischief — welcome aboard.
🔧 Tech Stack: Vapi | Groq | HTML/CSS/JS | Real-Time Transcription | Custom LLM Prompts
📂 Source Code: [https://github.com/agamarora/shararat-ai]
💬 Submit via: Vapi Build Challenge 2024 #buildwithvapi #vapi #groq
Built using @Vapi — part of the #BuildWithVapi challenge.
🔗 Shararat Links:
🌐 Live Demo: https://shararat.agamarora.com
💻 GitHub Repo: https://github.com/agamarora/shararat-ai
🎯 Built for: #BuildWithVapi challenge using @Vapi and @Groq
✨ Timestamps for quick access:
00:00 — Intro: What is Shararat & Why It Exists
01:37 — Demo: Angel & Dan Debating
08:14 — Code + Repo: Multi-Agent Setup, Handover Logic & Prompt Design
Watch on YouTube ↗
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Chapters (3)
Intro: What is Shararat & Why It Exists
1:37
Demo: Angel & Dan Debating
8:14
Code + Repo: Multi-Agent Setup, Handover Logic & Prompt Design
🎓
Tutor Explanation
DeepCamp AI