{"code":0,"data":{"id":"13078775-33e8-4afd-97aa-c13eece6e403","publisher_type":"organization","publisher_unique_handle":"langgenius","creator_email":"scarlettmao2002@gmail.com","template_name":"Extract conversation information","icon":"","icon_background":"","icon_file_key":"templates/13078775-33e8-4afd-97aa-c13eece6e403/icon.png","kind":"classic","dsl_file_key":"templates/13078775-33e8-4afd-97aa-c13eece6e403/dsl.yaml","dsl_raw_file_key":"","asset_files":null,"asset_tree_nodes":null,"categories":["operations","support","knowledge"],"deps_plugins":["langgenius/gemini"],"preferred_languages":["en"],"overview":"This workflow automatically turns long-form text into a visually consistent presentation deck.\r\nIt first extracts and structures the input content into slide-level outlines, then generates a styled presentation cover and slide images in a unified visual theme.Each slide is rendered individually using an image-capable LLM, ensuring consistent branding, typography, and layout across the entire deck. The result is a ready-to-use presentation generated directly from raw text, without manual slide design.","readme":"This template extracts structured, high-value information from long or complex LLM conversations and reformats it into a clean, reusable output.\r\nAs conversations with LLMs grow longer, they often contain valuable insights, frameworks, examples, and decisions—but those insights are usually scattered across messages and difficult to reuse. This workflow solves that problem by scanning the full conversation history and extracting only the meaningful content into a predefined structure.\r\nTypical outputs include:\r\n  Clear problem statements and conclusions\r\n \r\n  Structured frameworks (e.g. CO-STAR examples)\r\n \r\n  Actionable takeaways and summaries\r\n \r\n  Well-formatted notes suitable for documentation, knowledge bases, or sharing\r\n \r\n \r\nThe template is especially useful for:\r\n  Turning exploratory AI chats into reusable knowledge\r\n \r\n  Summarizing framework discussions (e.g. prompt frameworks, methodologies)\r\n \r\n  Cleaning up long conversations into structured notes or briefs","partner_link":"","version":"0.5.0","status":"published","review_comment":"","usage_count":528,"created_at":"2026-03-04T01:19:42.852941Z","updated_at":"2026-03-04T01:19:42.852941Z"},"msg":"ok"}