Why AI Agents Keep Failing - Arcade.dev

In this episode of CyberBytes, we sit down with Alex, co-founder and CEO of Arcade.dev, to unpack the real story behind MCP (Model Context Protocol) and why it has become one of the fastest-adopted standards in AI.Alex explains how the industry is moving past “wow” chatbots toward action-taking agents that can actually send the email, update the CRM, and automate real workflows. He also shares the unexpected pivot that led Arcade to its core product. What started as a site reliability agent turned into a breakthrough “tool execution layer” that separates an agent’s brain from its hands, making AI actions deterministic, secure, and production-ready.We dig into why most enterprise agent projects stall before production, the three bottlenecks killing ROI (accuracy, token cost, and security), and how MCP done right is not just “APIs wrapped for LLMs” but intention-based tooling built around what users want to achieve. Plus, Alex drops hard-earned lessons from his previous startup exit to Okta, including why early founders should sell fake demos first and why the best infrastructure products feel like black magic.If you are building agents, investing in the space, or trying to understand what the next 6 to 12 months of AI adoption looks like, this one is for you.Alex's LinkedIn - https://www.linkedin.com/in/alexsalazar/Arcade.dev - https://www.arcade.dev/Steffen's LinkedIn - https://www.linkedin.com/in/steffenfoley/Aspiron Search - https://www.linkedin.com/company/aspiron-search/