{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"Why Running AI Agents in Production Is Harder Than Running a Web App","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/7280425e\"></iframe>","width":"100%","height":180,"duration":818,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/why-running-ai-agents-in-production-is-harder-than-running-a-web-app.\nTreating an agent deployment like \"a web app that happens to call an LLM\" will backfire in production.\nCheck more stories related to undefined at: https://hackernoon.com/c/undefined.\n            You can also check exclusive content about #artificial-intelligence, #running-agents-in-production, #ai-agents-in-production, #openclaw, #hermes, #cloudways, #good-company, #cloudways-managed-ai-agents,  and more.\nThis story was written by: @cloudways. Learn more about this writer by checking @cloudways's about page,\n            and for more stories, please visit hackernoon.com.\nAs more agent frameworks show up, the question of who is validating updates before they hit production and who is protecting the state an agent has spent weeks accumulating is going to matter more.","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}