The future of AI is voice + IOT I built this real-time conversational agent in

The future of AI is voice + IOT I built this real-time conversational agent inThe future of AI is voice + IOT I built this real-time conversational agent in

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Obi Amadi

pro

• 9h

The future of AI is voice + IOT I built this real-time conversational agent in the cloud, ready to deploy locally and hopefully launch on the app store 🚀

ARHAAN

• 1d

Built the end-to-end AI pipeline for an agent-driven platform focused on enhancing human relationships through conversational systems.

Engineered a multi-agent architecture that processes inputs, routes them through specialized agents, and generates real-time, context-aware responses with conversation memory and dynamic decision-making.

Enabled users to interact with agents directly via WhatsApp, turning a familiar messaging platform into a seamless AI interface.

Focused on scalability, low-latency performance, and reliability to ensure smooth interactions at scale.

The result is an engaging system that brings advanced agent capabilities into everyday communication.

AI Engineer Full Stack Development LangChain Supabase Twilio

Gerardo González Garza

pro

• 19h

AI agents are great until something goes wrong and a real person needs to step in. Most businesses running chatbots have no clean way to monitor what their agents are doing across channels, let alone jump into a conversation.

A client reached out to me in need of a full stack platform that solves both of those problems. It gives them a dashboard to monitor all their agent chats across channels in one place, with a real-time takeover feature that lets humans step in and respond to escalated tickets without breaking the flow.

The integration was built from scratch to make the handoff between AI and human as seamless as possible.

Built with Next.js, Node.js, WebSockets, and more, this was one of the more technically interesting projects I have worked on, and one that genuinely changes how a team manages their AI operations.