Integral Ad Science Earns Prestigious Webby Finalist Nomination for its Generative AI Innovation, IAS Agent - businesswire.com
<a href="https://news.google.com/rss/articles/CBMi9gFBVV95cUxPTEdPUWVETURsWEh5WkVpbFBIbV80NEE4ckVBWmhUekxKLS1iY3R4bWRXM09tWFNjb3E3aENqcVNJSmhLdGhhZWhLRTlMM2dhX2xfYjMtRlIzTlZHNE1DSU9HWnRJeXV3dVo3SllBaklxd2FaWGdXNjYxMC01SVhOQ3RyQ2taQjVjbXoxLTVnSWFXNzFlOVFHRlgxOWVGa2tJa0xCQXFZVGs0OGtkZHpEa3Bfb0c1M0wtZG5jUXVSZ2RTMWlHTGR1dTlYcEJtMlBtYWxTTlc2VXlxUzdTd0dRWjJqOFg0ODgwTmNHTVhMalRXQkVKbXc?oc=5" target="_blank">Integral Ad Science Earns Prestigious Webby Finalist Nomination for its Generative AI Innovation, IAS Agent</a> <font color="#6f6f6f">businesswire.com</font>
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agentAnthropic says Claude can now use your computer to finish tasks for you in AI agent push - MSN
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Why AI Agents Need a Trust Layer (And How We Built One)
<p><em>What happens when AI agents need to prove they're reliable before anyone trusts them with real work?</em></p> <h2> The Problem No One's Talking About </h2> <p>Every week, a new AI agent framework drops. Autonomous agents that can write code, send emails, book flights, manage databases. The capabilities are incredible.</p> <p>But here's the question nobody's answering: <strong>how do you know which agent to trust?</strong></p> <p>Right now, hiring an AI agent feels like hiring a contractor with no references, no portfolio, and no track record. You're just... hoping it works. And when it doesn't, there's no accountability trail.</p> <p>We kept running into this building our own multi-agent systems:</p> <ul> <li>Agent A says it can handle email outreach. Can it? Who knows.</li> <li>Age

Observabilidade de agentes de IA com LangChain4j
<h2> Introdução </h2> <p>Estamos vivendo uma onda no desenvolvimento de software impulsionada pelo uso de <strong>IA generativa</strong> e, mais recentemente, por <strong>agentes de IA</strong> capazes de tomar decisões, orquestrar chamadas a modelos e interagir com ferramentas externas.</p> <p>Esses agentes vão além de simples integrações com LLMs. Eles executam fluxos dinâmicos, fazem múltiplas chamadas ao modelo, utilizam ferramentas e tomam decisões com base no contexto. Esse comportamento os aproxima muito mais de sistemas distribuídos.</p> <p>Com isso, à medida que começamos a levar esses agentes para <strong>ambientes corporativos</strong>, surge um requisito essencial que não pode ser ignorado: <strong>observabilidade e monitoramento</strong>.</p> <p>De forma simplificada:</p> <ul>
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