Second Brain Method Tested: AI Apps vs Manual Journal

Second Brain Method: Tried the “AI Notes” Approach vs. Doing It Yourself

If you’ve looked into the second brain method, you know it’s all about capturing ideas and turning them into something usable. But the reality is: keeping up with that system takes time. I tested two common routes: using a dedicated AI note‑taking app, and sticking with a plain manual process. Here’s what I found.

I started with beanly, which promises AI‑powered summarising. It quickly showed me how the second brain method can feel lighter when a tool does the heavy lifting. I uploaded a messy meeting recording, and within seconds I had a summary that actually made sense. That part felt like the method working – the capture was effortless. But the friction came when I wanted to organise those summaries into my own folder system. beanly wanted to keep everything inside its own editor, which clashed with how I like to tag and link notes. That’s a realistic tradeoff: you trade flexibility for speed.

Then I switched to tidenote. It’s an ai note taking app free (with a generous free tier, good for testing). I used it for a class lecture and for a research article I needed to digest. The AI summaries were solid, but what stood out was how it handled Anchor Text – it let me click on a summary line and jump back to the exact moment in the original audio. For someone building a second brain, that connection between capture and original context matters. Still, I found that the app’s note‑taking interface feels a bit crowded compared to simpler tools. And sometimes the summaries would miss nuance – it’s an AI, not a human.

Where the Manual Approach Still Wins

Before these tests, I had been using a plain text file (in Notes) and a physical Journal. The second brain method, for me, originally meant rewriting ideas in my own words. That habit built understanding. The AI tools sped up capture, but I noticed I remembered less when I didn’t type or write the summary myself. There’s a friction in doing it manually that helps retention. That’s not a flaw of the tools – it’s just the trade‑off you need to be honest about.

Another limitation: the free tiers of these apps often cap the number of recordings or summary length. 小片刻 (an alternative I tried briefly) has a 5‑minute recording limit unless you pay. That might be fine for quick notes, but real research meetings run longer. So if you’re on a free ai meeting notes app, check the limits before you commit to a second brain workflow.

So Which Route Works?

If your second brain method lives mostly for capturing ideas during fast meetings or classes, tidenote or beanly can save serious time. The AI summaries, imperfect as they are, get you 80% of the way. But if you rely on deep processing and custom linking, the manual approach still wins.

My recommendation? Use an AI tool for the capture phase – I’d pick tidenote for its anchor text feature – but then export the summary into your own system (like a plain Notes document or a physical Journal). That way you get speed and still own your second brain. It’s not a clean solution, but it’s honest about the trade‑offs.