Notion AI versus Obsidian Smart Connections for daily meeting notes

I’ve been wrestling with this for the last two weeks and I’m genuinely stuck. My workflow involves capturing raw transcript dumps from Zoom and then synthesizing them into actionable tasks and summary bullets. For a long time, I relied on Notion AI because the database integration was seamless. I could tag meetings, link them to project wikis, and let the AI auto-fill properties. The problem is that the context window feels limited when dealing with long technical deep-dives. It tends to hallucinate specific details or miss nuanced implications in complex architectural discussions. The summaries are decent at a high level but often lack the granular detail I need for post-meeting follow-ups with engineering teams. On the other hand, I migrated some of my notes to Obsidian with the Smart Connections plugin. The local embedding feels more robust for semantic search. I can query concepts across years of notes without worrying about privacy since everything stays on my machine. The summarization capability is decent, but the friction of moving data between Obsidian’s flat file structure and my project management tools is killing my productivity. I end up manually copy-pasting links into Linear or Jira, which defeats the purpose of automation. Has anyone successfully bridged this gap? Is there a middleware solution or a specific plugin combination that allows me to keep the semantic power of Obsidian but sync key outputs back into a structured database like Notion or Airtable? I’m considering building a small Python script to parse Obsidian notes and push updates to Notion via API, but I’d prefer a no-code solution if one exists. I value my morning coffee breaks and don’t want to spend them debugging webhook failures. Looking for real-world experiences rather than theoretical comparisons. What is your go-to stack for turning unstructured meeting chaos into organized, searchable knowledge without losing data integrity?