{"id":14097,"date":"2025-09-15T19:16:14","date_gmt":"2025-09-15T10:16:14","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=14097"},"modified":"2025-09-15T19:16:14","modified_gmt":"2025-09-15T10:16:14","slug":"2-agent-structure-separating-context-from-execution-in-ai-methods","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=14097","title":{"rendered":"2-agent structure: Separating context from execution in AI methods"},"content":{"rendered":"<p> <br \/>\n<br \/><img decoding=\"async\" src=\"https:\/\/www.infoworld.com\/wp-content\/uploads\/2025\/09\/4056424-0-49187300-1757927015-shutterstock_1326046904.jpg?quality=50&amp;strip=all\" alt=\"\"><\/p>\n<div>\n<section class=\"wp-block-bigbite-multi-title\"\/>\n<p>Once I first began experimenting with voice AI brokers for real-world duties like restaurant reservations and customer support calls, I rapidly ran right into a basic downside. My preliminary monolithic agent was attempting to do every little thing directly: perceive complicated buyer requests, analysis restaurant availability, deal with real-time cellphone conversations and adapt to sudden responses from human employees. The consequence was an AI that carried out poorly at every little thing.<\/p>\n<p>After days of experimentation with my voice AI prototype \u2014 which handles reserving dinner reservations \u2014 I found that essentially the most sturdy and scalable strategy employs two specialised brokers working in live performance: a context agent and an execution agent. This architectural sample basically modifications how we take into consideration AI activity automation by separating issues and optimizing every part for its particular position.<\/p>\n<h2 class=\"wp-block-heading\" id=\"the-problem-with-monolithic-ai-agents\">The issue with monolithic AI brokers<\/h2>\n<p>My early makes an attempt at constructing voice AI used a single agent that attempted to deal with every little thing. When a consumer needed to e-book a restaurant reservation, this monolithic agent needed to concurrently analyze the request (\u201ce-book a desk for 4 at a restaurant with vegan choices\u201d), formulate a dialog technique after which execute a real-time cellphone name with dynamic human employees.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Once I first began experimenting with voice AI brokers for real-world duties like restaurant reservations and customer support calls, I rapidly ran right into a basic downside. My preliminary monolithic agent was attempting to do every little thing directly: perceive complicated buyer requests, analysis restaurant availability, deal with real-time cellphone conversations and adapt to sudden [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":14099,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-14097","post","type-post","status-publish","format-standard","has-post-thumbnail","category-cloud-computing"],"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/14097","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14097"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/14097\/revisions"}],"predecessor-version":[{"id":14098,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/14097\/revisions\/14098"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/14099"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}