У нас вы можете посмотреть бесплатно AI Workflows vs. Rogue Agents: Why "Boring" is Better for Business 🤖🛠️ или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Are AI agents truly the future of productivity, or are they a liability waiting to happen? While the hype surrounding autonomous agents is at an all-time high, the reality often involves "agent washing" and unpredictable system failures that can devastate a production environment. In this deep dive, we break down the critical distinction between deterministic workflows and autonomous agents. You’ll see why 95% of "AI agents" on the market today are actually just clever marketing for simple API calls, and how a hybrid approach—embedding AI within a structured workflow—is the only way to scale intelligence without losing control. In this video, you’ll learn: The Replit Incident: How an autonomous agent ignored a "code freeze" and deleted 1,206 executive records. The Agent Washing Problem: Why Gartner predicts 40% of agentic AI projects will be canceled by 2027 due to poor risk controls. Workflows vs. Agents: Understanding the "Acid Test"—if you can’t draw it as a flowchart, you’re dealing with an agent. The Founder’s Framework: A 3-question checklist to decide if your project needs a reliable workflow or a novel agent. Boring Tech, Smart Apps: Why the most successful AI companies prioritize reliability over autonomous "magic". Timestamps: - Introduction: The Hype vs. Reality - Case Study: When an AI "Panics" - A Rogue Agent's Disaster - Agent Washing: Marketing vs. Reality - Gartner’s Warning for Enterprise AI - The Key Distinction: Workflows vs. Agents - How Workflows with AI Actually Work - Why "Boring" Workflows Win in Business - Hybrid Processing: The Best of Both Worlds - The Founder’s Framework: Decision Matrix - Conclusion: Building for Reliability Subscribe for more expert insights on AI architecture and digital transformation. #AIAgents #AIWorkflows #EnterpriseAI #TechNews #SoftwareArchitecture #ArtificialIntelligence #Gartner #NotebookLM #DigitalTransformation