A Airia lançou a capacidade de construir agentes de IA descrevendo em linguagem natural o que você quer que eles façam, sem precisar de habilidades em engenharia de prompts, arquitetura de soluções ou programação pesada. Essa nova funcionalidade elimina a barreira técnica ao permitir que qualquer pessoa descreva sua ideia e a plataforma automaticamente planeja, constrói, testa e prepara o agente para produção. A Airia constrói e iterage o fluxo do agente em tempo real (incluindo integração com modelos, lógica, código Python e memória). Quer conhecer mais tryit.cc/RuLSYim. Por fim, você testa e implanta o agente com segurança e governança incorporadas. Isso significa menos dependência de equipes técnicas especializadas e mais foco em resultados reais de negócio. A tecnologia acelera desde protótipos até soluções de IA totalmente governadas e prontas para produção em minutos. Essa é uma mudança de paradigma para adoção de IA nas empresas, democratizando o desenvolvimento de agentes autônomos e reduzindo drasticamente a curva de aprendizado. Quer mais revoluções como essa no seu feed? Vamos conversar sobre como isso pode impactar transformação digital e inovação estratégica no seu setor! E aí, você acha que isso vai acelerar a adoção de IA nas empresas? #InteligenciaArtificial #AIAgents #Inovacao #Tecnologia #TransformacaoDigital

Your AI moat isn't your model. It's your governance. 40% of agentic AI projects will be canceled by 2027. Gartner's prediction. The reason? "Inadequate risk controls." Not bad models. Not wrong use cases. Zero governance. Most founders think faster shipping = winning. That's backwards. → Reality #1: Everyone has GPT-5 and Cursor now. Building agents is trivially fast. Natural language → canvas → deployed. Development isn't the bottleneck anymore. → Reality #2: Governance is still "Phase 2." But the EU AI Act isn't waiting for Phase 2. Neither is your CISO. Neither is the 40% failure rate. → Reality #3: The enterprises scaling aren't shipping faster. They're governing faster. Here's what separates the 40% canceled from those that scale: ↳ Agent registry with ownership and access scope ↳ Risk classification running continuously ↳ Compliance automation for EU AI Act, NIST, ISO 42001 ↳ Security policies on every agent—even third-party ↳ Kill switch when agents go off-script I've been evaluating platforms that solve this at the architecture level. Airia stands out because governance isn't a module you bolt on later. It's baked into the platform from the first prompt you type. What makes Airia different: ↳ Security, governance, and orchestration unified—not siloed ↳ Model-agnostic—works with the LLMs you already use, no vendor lock-in ↳ Full lifecycle support—from pilot to enterprise-wide deployment ↳ Continuous audit trails and compliance automation built in While you perfect prompts ⟶ competitors with governance are scaling. While you ship agents ⟶ auditors are asking questions you can't answer. Everyone's racing to ship agents. Not everyone can stand behind what their agents do. That's the only moat left. And that's exactly what Airia was built to solve. Learn more: lnkd.in/gPDKfpJj #EnterpriseAI #AIGovernance #AIOrchestration #AICompliance

Enterprise AI’s future lies in orchestration, not rebuilding from zero. Teams across industries want to expand AI adoption—without the complexity. Imagine if AI were: Created without writing code Effortlessly integrated with your current data systems Deployable in any environment Protected by enterprise-level security controls And backed by a committed support team? This is how AI orchestration platforms are transforming the landscape: >Experiment faster with no-code builders. > Integrations made easy with pre-built connectors. >Smart operations enhance efficiency and reduce expenses. > Compliance backed by enterprise-grade security. >Adaptable deployments fit seamlessly with any IT infrastructure. AI is no longer an isolated project; it’s evolving into the cornerstone of enterprise transformation. Curious how organizations are orchestrating AI at scale? Explore more here 👉 👉 Try the free trial: lnkd.in/gyTsWEc8 👉 Explore the Community: community.airia.ai

I just found an AI agent builder that's actually a solid agent prototyping tool. It's called Airia AI. When I started playing with it, I realized why most "agent builders" fall short. They stop at prompts and tools. It's good enough for a one-off, but not a system of agents.  What made this different:  🎯 Easily picking the right model for cost vs. performance  🎯 Side-by-side run comparison with different prompts and models  🎯 Centralized tool management (not buried in each workflow) 🔗 I walk through a demo agent build in my latest video - link in the comments.