Why do AI Agents fail? скачать в хорошем качестве

Why do AI Agents fail?

Most enterprise AI agents never make it to production. Why? Because traditional platforms force business teams to think like developers, manually designing complex flows and writing endless prompts only to get stuck at 60% accuracy. In this video, we break down why the "manual-first" approach doesn't scale and how Beam AI flips the script. What we cover: The "Developer Trap": Why manual prompt engineering and flow design are scaling bottlenecks. Human-Centric Building: How to define workflows by steps, inputs, and outputs—not code. The Feedback Loop: How Beam reaches 95% accuracy in days through "Agent Learning." Enterprise-Ready Infrastructure: SOC 2, GDPR, HIPAA compliance, and AWS Marketplace integration. Ready to move past the 60% accuracy wall? Stop building "experimental" agents and start deploying production-ready ones. 🔗 Book a Demo with Beam AI: https://beam.ai/see-a-demo #EnterpriseAI #AIAgents #BeamAI #AIPromptEngineering #MachineLearning #GenerativeAI #ai #automation