u/Aggravating_Tip8140

Hey everyone,

While working on a small productivity tool, I realized something ironic:

My own note-taking during meetings was completely broken.

Between user calls, planning sessions, and random ideas, I was either:
– typing and missing key points
– or ending up with notes I never used

So I decided to test a bunch of AI note-taking tools and workflows over the past few weeks.

Not just features, but what actually helps when you’re building day-to-day.

Here’s a simple breakdown:

Basic transcription tools (good start, not enough)
These record meetings and turn them into text.

Helpful for:
– capturing everything

But:
You still have to go back, read everything, and figure out what matters.

Didn’t really save me time.

AI apps with summaries (better, but hit or miss)
These tools generate summaries and action points automatically.

Good for:
– quick overviews
– lighter meetings

Downside:
Some summaries feel too generic or miss the actual decisions.

Structured note workflows (most useful for me)
This is what made the biggest difference.

Instead of just transcripts or summaries, I focused on:
– key decisions
– action items
– organized sections

That made it way easier to:
– follow up with users
– track what actually matters
– avoid rewatching recordings

Big takeaway:
The goal isn’t just to “take notes faster”, it’s to make notes usable after the meeting.

That’s what actually reduces workload as a solo builder.

Still experimenting with different setups, but curious how others here handle this.

Are you using AI for note-taking yet, or still doing it manually?

Hey everyone,

If you run a business or manage a team, you probably deal with this daily:

Back-to-back meetings, ideas everywhere and notes that either don’t make sense later or never get used.

I ran into this hard while juggling calls, planning sessions, and follow-ups. Writing notes manually just wasn’t cutting it anymore, so I tested different AI note-taking approaches over the past few weeks.

Not just tools but actual workflows.

Here’s what I found:

1. Basic recording + transcription (low effort, low clarity)
This is what most people start with. You record meetings and get transcripts.

Problem:
You still have to clean everything up yourself, which defeats the purpose.

2. AI apps with summaries (better, but inconsistent)
Tools that generate summaries and action points definitely help.

Good for:
– quick recaps
– simple meetings

Downside:
Summaries can feel generic, and sometimes miss context that actually matters for decisions.

3. Structured AI note workflows (most useful so far)
This is where things started to click for me.

Instead of just transcripts or summaries, I focused on getting:
– key decisions
– action items
– organized sections (not just paragraphs)

This made follow-ups way easier and reduced the mental load after meetings.

Biggest takeaway:
The real value isn’t in “taking notes faster” it’s in making notes usable after the meeting.

That’s what actually saves time.

I’m still refining how I do this, but it’s already clear that manual note-taking doesn’t scale well once you’re handling multiple conversations daily.

Curious to hear from other founders:

What’s your current system for handling meeting notes?
Are you still doing it manually, or using AI in some way?