Agent
Building a Human Handoff Interface for AI-Powered Insurance Agent Using Parlant and Streamlit
Human handoff is a key component of customer service automation—it ensures that when AI reaches its limits, a skilled human can seamlessly take over. In this tutorial, we’ll implement a human handoff system for an AI-powered insurance agent using Parlant. You’ll learn how to create a Streamlit-based interface that allows a human operator (Tier 2)…
Google DeepMind introduces new AI agent for code security
Responsibility & Safety Published 6 October 2025 Authors Raluca Ada Popa and Four Flynn Using advanced AI to fix critical software vulnerabilities Today, we’re sharing early results from our research on CodeMender, a new AI-powered agent that improves code security automatically. Software vulnerabilities are notoriously difficult and time-consuming for developers to find and fix, even…
Google’s Sensible Agent Reframes Augmented Reality (AR) Assistance as a Coupled “what+how” Decision—So What does that Change?
Sensible Agent is an AI research framework and prototype from Google that chooses both the action an augmented reality (AR) agent should take and the interaction modality to deliver/confirm it, conditioned on real-time multimodal context (e.g., whether hands are busy, ambient noise, social setting). Rather than treating “what to suggest” and “how to ask” as…
How to Build a Multilingual OCR AI Agent in Python with EasyOCR and OpenCV
class AdvancedOCRAgent: “”” Advanced OCR AI Agent with preprocessing, multi-language support, and intelligent text extraction capabilities. “”” def __init__(self, languages: List[str] = [‘en’], gpu: bool = True): “””Initialize OCR agent with specified languages.””” print(“🤖 Initializing Advanced OCR Agent…”) self.languages = languages self.reader = easyocr.Reader(languages, gpu=gpu) self.confidence_threshold = 0.5 print(f”✅ OCR Agent ready! Languages: {languages}”) def…
Google AI Introduces Personal Health Agent (PHA): A Multi-Agent Framework that Enables Personalized Interactions to Address Individual Health Needs
What is a Personal Health Agent? Large language models (LLMs) have demonstrated strong performance across various domains like clinical reasoning, decision support, and consumer health applications. However, most existing platforms are designed as single-purpose tools, such as symptom checkers, digital coaches, or health information assistants. These approaches often fail to address the complexity of real-world…
Step-by-Step Guide to AI Agent Development Using Microsoft Agent-Lightning
In this tutorial, we walk through setting up an advanced AI Agent using Microsoft’s Agent-Lightning framework. We are running everything directly inside Google Colab, which means we can experiment with both the server and client components in one place. By defining a small QA agent, connecting it to a local Agent-Lightning server, and then training…
How to Build a Conversational Research AI Agent with LangGraph: Step Replay and Time-Travel Checkpoints
In this tutorial, we aim to understand how LangGraph enables us to manage conversation flows in a structured manner, while also providing the power to “time travel” through checkpoints. By building a chatbot that integrates a free Gemini model and a Wikipedia tool, we can add multiple steps to a dialogue, record each checkpoint, replay…
A Coding Implementation of an Advanced Tool-Using AI Agent with Semantic Kernel and Gemini
In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as tools, like web search, math evaluation, file I/O, and note-taking, and then let Gemini orchestrate them through structured JSON outputs. We…
AI Agent Trends of 2025: A Transformative Landscape
The year 2025 marks a defining moment in the evolution of artificial intelligence, ushering in an era where agentic systems—autonomous AI agents capable of complex reasoning and coordinated action—are transforming enterprise workflows, research, software development, and day-to-day user experiences. This articles focuses on five core AI agent trends for 2025: Agentic RAG, Voice Agents, AI…
Researchers Uncover GPT-5 Jailbreak and Zero-Click AI Agent Attacks Exposing Cloud and IoT Systems
Cybersecurity researchers have uncovered a jailbreak technique to bypass ethical guardrails erected by OpenAI in its latest large language model (LLM) GPT-5 and produce illicit instructions. Generative artificial intelligence (AI) security platform NeuralTrust said it combined a known technique called Echo Chamber with narrative-driven steering to trick the model into producing undesirable responses. “We use…