{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"Let the Agent Complain: A Feedback Loop for Better AI Tools","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/2666779d\"></iframe>","width":"100%","height":180,"duration":486,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/let-the-agent-complain-a-feedback-loop-for-better-ai-tools.\nWhen AI agents fail, logs show what happened, but complaints reveal why. Learn how agent feedback uncovers missing tools, context gaps and product issues.\nCheck more stories related to undefined at: https://hackernoon.com/c/undefined.\n            You can also check exclusive content about #ai-agents, #agentic-ai, #ai-testing, #qa-automation, #software-testing, #llm-applications, #ai-debugging, #good-company,  and more.\nThis story was written by: @qatech. Learn more about this writer by checking @qatech's about page,\n            and for more stories, please visit hackernoon.com.\nAI agent failures aren’t always caused by the model. Logs show what the agent did, but complaints reveal what was missing—whether it’s context, tools, permissions, or better product flows. Agent feedback helps teams debug faster and build more reliable AI systems.\n        \n        ","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}