{"id":39935,"date":"2026-03-25T14:27:19","date_gmt":"2026-03-25T13:27:19","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/action-oriented-llm-datasets-tool-use-workflows-decision-logic\/"},"modified":"2026-03-25T14:27:19","modified_gmt":"2026-03-25T13:27:19","slug":"action-oriented-llm-datasets-tool-use-workflows-decision-logic","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/action-oriented-llm-datasets-tool-use-workflows-decision-logic\/","title":{"rendered":"Action-oriented LLM Datasets (tool Use + Workflows + Decision Logic)"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Most datasets rely on logs or real user data \u2014 which makes them messy, inconsistent, and hard to use due to privacy constraints.<\/p>\n<p>What we\u2019re doing differently:<\/p>\n<ul>\n<li>fully <strong>synthetic, controllable data<\/strong><\/li>\n<li>structured as <strong>state \u2192 decision \u2192 action \u2192 outcome<\/strong><\/li>\n<li>built for <strong>tool use + multi-step workflows<\/strong>, not just text<\/li>\n<\/ul>\n<p>So instead of cleaning logs, you can generate <strong>clean, privacy-safe datasets<\/strong> aligned to how your systems actually behave.<\/p>\n<p>Curious if others are moving toward synthetic + behavior-driven datasets for agents?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/JayPatel24_\"> \/u\/JayPatel24_ <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1s3a2fb\/actionoriented_llm_datasets_tool_use_workflows\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1s3a2fb\/actionoriented_llm_datasets_tool_use_workflows\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-39935 jlk' href='javascript:void(0)' data-task='like' data-post_id='39935' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-39935 lc'>0<\/span><\/a><\/div><\/div> <div class='status-39935 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Most datasets rely on logs or real user data \u2014 which makes them messy, inconsistent, and hard&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-39935","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/39935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=39935"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/39935\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=39935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=39935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=39935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}