In my work with AI agents and multi-agent systems (MAS), I wear two hats. One focuses on building real-world systems—designing, deploying, and testing agents in dynamic environments. The other is applied research: evaluating platforms like Amazon Bed...
This week, I built fully autonomous agent, Tinker, which can autonomously suggest and improve the code base. We will be using to iterate on Pixel project, while I work on other things. Next week, I’m heading back to Machi project to build AI-native v...
Definition: A2A stands for agent-to-agent → focusing on agent communication, focusing on how agents interact with one another. Benefits of Agent-to-Agent Communication BenefitDescription Interoperability (A standard)Enables agents from differ...
Had an incredible time visiting Nokia L5, Manyata Park, Bengaluru for the event "Code Walkthrough: Building and Deploying AI Agents"! 🚀A big shoutout to the amazing speakers:🔹 Vinayak Gavariya from Sarvam AI🔹 Jithin George from Lyzr AI🔹 Nihal Kas...
Over the past several months, I’ve been diving deep into building AI agents. Not too long ago, I hit a roadblock that forced me to rethink my approach. I spent nearly two days trying to resolve a problem with my first AI agent, and that experience ha...
When I first started working with AI agents, I didn’t realize how much the journey would mirror other creative challenges I’ve tackled before. I’m the kind of person who tends to dive into the most complex aspects first and work my way through the de...
When building AI agents, it’s easy to get caught up in making them function well on their own. But as exciting as it is to see an agent perform its tasks, the real magic happens when multiple agents (Multiple-Agent Systems or MAS) can communicate eff...
In a recent blog post, I shared a bit about my AI research assistant and how I’m scaling its intelligence. Part of my ongoing work has been to build a team of collaborative AI researchers—each specializing in different tasks. This approach has led so...
There’s been a lot of talk about AI agents lately, so I want to break it down in plain language — and share how I built the first of a team of AI research assistants. To put it simply, an AI agent is like a virtual employee that does tasks for you. W...
Introduction: In the rapidly evolving field of artificial intelligence, Multi-Agent Systems (MAS) utilizing Large Language Models (LLMs) have emerged as a promising approach to tackle complex tasks. By leveraging the collaborative capabilities of mul...
