In this episode of Eye on AI, host Craig Smith sits down with Alex Salazar, co-founder and CEO of Arcade.dev, to explore what it really takes to build secure, scalable AI agents that can take real-world actions.
While everyone’s talking about the future of autonomous agents, most never make it past the demo stage. Why? Because agents today lack secure infrastructure to connect with real tools like Gmail, Slack, Notion, GitHub—and do so on behalf of users without breaking authentication protocols.
Alex shares how Arcade solves the missing layer in AI agent development: secure tool execution, user-specific authorization, OAuth flows, and production-ready consistency.
Whether you're building with GPT‑4, Claude, or open-source models, Arcade handles the hard part—making agent actions actually work.
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(00:00) Why AI Agents Can’t Take Action (Yet)
(01:27) Meet Alex Salazar: From Okta to Arcade
(03:39) What Arcade.dev Actually Does
(05:16) Agent Protocols: MCP, ACP & Where Arcade Fits
(07:36) Arcade Demo: Building a Multi-Tool AI Agent
(11:16) Handling Secure Authentication with OAuth
(14:40) Why Agents Need User-Tied Authorization
(19:25) Tools vs APIs: The Real Interface for LLMs
(23:41) How Arcade Ensures Agents Go Beyond Demos
(25:48) Why Arcade Focuses on Developers, Not Consumers
(27:55) The Roadblocks to Production-Ready Agents
(31:15) How Arcade Integrates Into Agent Workflows
(33:16) Tool Calling & Model Compatibility Challenges
(34:49) Arcade’s Pricing Model Explained
(36:20) Competing with Big Tech: IBM, AWS & Others
(38:38) Future of Agents: From Hype to Workflow Automation
(41:58) Real Use Cases: Email Agents, Slack Bots, Finance & More
(46:17) Agent Marketplaces & The Arcade Origin Story
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