1a:{"metadata":[["$","title","0",{"children":"📂 Slow Productivity AI: Automating Knowledge & Task Management with Offline Hugging Face, n8n & Obsidian | PyCon Lithuania 2025"}],["$","meta","1",{"name":"description","content":"Modern work demands constant context-switching—emails, notes, meetings, and tasks pile up, leaving us overwhelmed. This talk introduces a slow productivity AI approach, inspired by Cal Newport, that leverages offline, open-source automation using Hugging Face, n8n, and Obsidian. By structuring knowledge into meaningful tasks without disrupting deep work, we can create a sustainable, low-distraction workflow—working smarter, not just faster."}],["$","meta","2",{"property":"og:title","content":"📂 Slow Productivity AI: Automating Knowledge & Task Management with Offline Hugging Face, n8n & Obsidian"}],["$","meta","3",{"property":"og:description","content":"Modern work demands constant context-switching—emails, notes, meetings, and tasks pile up, leaving us overwhelmed. This talk introduces a slow productivity AI approach, inspired by Cal Newport, that leverages offline, open-source automation using Hugging Face, n8n, and Obsidian. By structuring knowledge into meaningful tasks without disrupting deep work, we can create a sustainable, low-distraction workflow—working smarter, not just faster."}],["$","meta","4",{"property":"og:image:type","content":"image/png"}],["$","meta","5",{"property":"og:image","content":"https://pycon.lt/2025/talks/DHLHQ3/opengraph-image?259b7e2f8ee728ba"}],["$","meta","6",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","7",{"name":"twitter:title","content":"📂 Slow Productivity AI: Automating Knowledge & Task Management with Offline Hugging Face, n8n & Obsidian"}],["$","meta","8",{"name":"twitter:description","content":"Modern work demands constant context-switching—emails, notes, meetings, and tasks pile up, leaving us overwhelmed. This talk introduces a slow productivity AI approach, inspired by Cal Newport, that leverages offline, open-source automation using Hugging Face, n8n, and Obsidian. By structuring knowledge into meaningful tasks without disrupting deep work, we can create a sustainable, low-distraction workflow—working smarter, not just faster."}],["$","meta","9",{"name":"twitter:image:type","content":"image/png"}],["$","meta","10",{"name":"twitter:image","content":"https://pycon.lt/2025/talks/DHLHQ3/opengraph-image?259b7e2f8ee728ba"}]],"error":null,"digest":"$undefined"}

The talk

abstract

Prerequisites

Description

Speakers

Actions