OpenAI has open-sourced a new multi-agent customer service demo on GitHub, showcasing how to build domain-specialized AI agents using its Agents SDK. This project—titled openai-cs-agents-demo—models an airline customer service chatbot capable of handling a range of travel-related queries by dynamically routing requests to specialized agents. Built with a Python backend and a Next.js frontend, the…
The Shift in Agentic AI System Needs LLMs are widely admired for their human-like capabilities and conversational skills. However, with the rapid growth of agentic AI systems, LLMs are increasingly being utilized for repetitive, specialized tasks. This shift is gaining momentum—over half of major IT companies now use AI agents, with significant funding and projected…
11 Best AI Agent Frameworks for Software Developers was originally published in Artificial Intelligence in Plain English on Medium, where people are continuing the conversation by highlighting and responding to this story.
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided by the python-a2a library. With simple @agent and @skill decorators, you can define your agent’s…
Why do we need autonomous AI agents? Picture this: it’s 3 a.m., and a customer on the other side of the globe urgently needs help with their account. A traditional chatbot would wake up your support team with an escalation. But what if your AI agent could handle the request autonomously, safely, and correctly? That’s the…
The AI revolution is racing beyond chatbots to autonomous agents that act, decide, and interface with internal systems. Unlike traditional software, AI agents can be manipulated through language, making them vulnerable to attacks like prompt injection and they also introduce new security risks like excessive agency. Join us for an exclusive deep dive with Sourabh…
What makes something an “AI agent” – and how do you build one that does more than just sound impressive in a demo? I’m Nico Finelli, Founding Go-To-Market Member at Vellum. Starting in machine learning, I’ve consulted for Fortune 500s, worked at Weights & Biases during the LLM boom, and now I help companies get…
According to recent Cisco research, it’s projected that by 2028, 68% of all customer service and support interactions with tech vendors will be handled by agentic AI. This makes sense, as 93% of respondents in the same study predict that a more personalized, predictive, and proactive service will be possible with agentic AI. Agentic AI…
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Unlike traditional AI systems that rely on step-by-step human input, agentic AI represents the next evolution: autonomous agents capable of ingesting information, executing tasks, and independently delivering end-to-end outcomes. These agents can undertake multistep processes, linking APIs, databases, and workflows, to tackle complex problems without constant oversight. As businesses aim to streamline operations and cut…