{"id":233503,"date":"2025-09-17T09:36:16","date_gmt":"2025-09-17T09:36:16","guid":{"rendered":"https:\/\/www.europesays.com\/us\/233503\/"},"modified":"2025-09-17T09:36:16","modified_gmt":"2025-09-17T09:36:16","slug":"doomprompting-endless-tinkering-with-ai-outputs-can-cripple-it-results","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/us\/233503\/","title":{"rendered":"Doomprompting: Endless tinkering with AI outputs can cripple IT results"},"content":{"rendered":"<p>\u201cEmployees who don\u2019t really understand the goal they\u2019re after will spin in circles not knowing when they should just call it done or step away,\u201d Farmer says. \u201cThe enemy of good is perfect, and LLMs make us feel like if we just tweak that last prompt a little bit, we\u2019ll get there.\u201d<\/p>\n<p>Agents of doom<\/p>\n<p>Observers see two versions of doomprompting, with one example being an individual\u2019s interactions with an LLM or another AI tool. This scenario can play out in a nonwork situation, but it can also happen during office hours, with an employee repeatedly tweaking the outputs on, for example, an AI-generated email, <a href=\"https:\/\/www.cio.com\/article\/3509174\/ai-coding-assistants-wave-goodbye-to-junior-developers.html?utm=hybrid_search\" target=\"_blank\" rel=\"noopener\">line of code<\/a>, or research query.<\/p>\n<p>The second type of doom prompting is emerging as organizations adopt <a href=\"https:\/\/www.cio.com\/article\/3496519\/agentic-ai-decisive-operational-ai-arrives-in-business.html\" target=\"_blank\" rel=\"noopener\">AI agents<\/a>, says <a href=\"https:\/\/www.linkedin.com\/in\/jayeshg\/\" rel=\"nofollow noopener\" target=\"_blank\">Jayesh Govindarajan<\/a>, executive vice president of AI at Salesforce. In this scenario, an IT team continuously tweaks an agent to find minor improvements in its output.<\/p>\n","protected":false},"excerpt":{"rendered":"\u201cEmployees who don\u2019t really understand the goal they\u2019re after will spin in circles not knowing when they should&hellip;\n","protected":false},"author":3,"featured_media":233504,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[691,738,158,67,132,68],"class_list":{"0":"post-233503","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-technology","11":"tag-united-states","12":"tag-unitedstates","13":"tag-us"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@us\/115218964993585783","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/233503","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/comments?post=233503"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/233503\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media\/233504"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media?parent=233503"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/categories?post=233503"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/tags?post=233503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}