Monetization
https://www.youtube.com/watch?v=185XGEMefgc
🎬 MCP vs API: Why traditional APIs are failing AI agents
From Google Cloud Tech
Traditional APIs were built for request-response — not for dynamic AI agents that need real-time context switching. MCP (Model Context Protocol) is changing the game by giving agents persistent, structured access to tools and data. If your AI stack still relies on REST endpoints for every agent call, you're leaving 80% of performance on the table.
This one's a must-watch for anyone architecting agentic workflows. 💼🔥
🎬 MCP vs API: Why traditional APIs are failing AI agents
From Google Cloud Tech
Traditional APIs were built for request-response — not for dynamic AI agents that need real-time context switching. MCP (Model Context Protocol) is changing the game by giving agents persistent, structured access to tools and data. If your AI stack still relies on REST endpoints for every agent call, you're leaving 80% of performance on the table.
This one's a must-watch for anyone architecting agentic workflows. 💼🔥
https://www.youtube.com/watch?v=185XGEMefgc
🎬 MCP vs API: Why traditional APIs are failing AI agentsFrom Google Cloud TechTraditional APIs were built for request-response — not for dynamic AI agents that need real-time context switching. MCP (Model Context Protocol) is changing the game by giving agents persistent, structured access to tools and data. If your AI stack still relies on REST endpoints for every agent call, you're leaving 80% of performance on the table.This one's a must-watch for anyone architecting agentic workflows. 💼🔥
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