[FireBeyond]

My workflow uses krisp.ai for taking a transcript, and then I have a dedicated project in Claude. I feed it the transcript and ask for it to give me a summary in a specific format I define, with good front matter, etc., and it needs to spit that out in a way that I auto-import into Obsidian.

But key in my prompt is asking 1) for it to flag any low confidence or context-nonsensical statements in the transcript, with the timestamp, so then I can listen to the original audio and either clarify, correct, or say "I couldn't understand that either, here's my best guess and mark it low confidence", then 2) which I see as critical: Claude also is told to create a "context" document that it maintains based on my answers, so it starts to gather ASR things like "transcript commonly hears A B and C as variants of name X", who is who, internal product and project names and context info on them. 3) Claude is told specifically to read this prior to summarizing the transcript, and to consult it as it is doing so, and to ask me on anything it's not confident on.

What is then starting to get quite powerful for me is moving from full text search of my meeting notes in Obsidian (I'm a PM in a lot of meetings), but I can point Cowork to the Obsidian notes folder (because they're all Markdown) and start doing rich "querying" of it. "When did [stakeholder] first mention [feature] as a release blocker?" and it can point to the meeting.

My system works well, and I've done a bit to fine tune the automation and friction reduction, and it's a bit easier to manage because I'm not generally creating summaries for broader consumption but as my second brain (I have a separate prompt that utilizes some of that "knowledge" to build those).

One thing I've found helpful with this is moving the summarization itself into something with "context/memory". Krisp is capable of generating summaries but can't/doesn't review prior transcripts. Its role is just "give me the transcript as you heard it".

[Kushalzen]

For the "when did X first mention Y" queries, does it surface things you'd forgotten about that turned out to matter?

Or mostly just confirm what you half-remembered?

Trying to figure out whether the value of the loop is rediscovery or just precise lookup.

[FireBeyond]

I think it's both, for me. I struggle with recall, so it helps me remember. I'm also using it to push to Todoist, etc. I need the memory jog, and then it helps me confirm things as they come back to me, to ensure I remember correctly. (ADHD, and across many projects as a PM).