Why I Finally Stopped Pretending My Notes System Works, and What I Learned Testing Seven AI Tools

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Adil Sher

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Oct 16, 2026
4 min read
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Why I Finally Stopped Pretending My Notes System Works, and What I Learned Testing Seven AI Tools

Three months ago, I realized I had notes scattered across four different apps. Meeting summaries lived in one place, project ideas in another, code snippets in a third, and half my technical decisions were just... gone. The irony hit me hard: I build full-stack applications for a living, yet I couldn't build a coherent system to capture my own thinking. When I saw someone had actually tested seven note-taking tools under real conditions, the same messy input, same retrieval demands, I had to dig in.

What surprised me wasn't just the results. It was how much this category has shifted. The startups that dominated 2024 either pivoted dramatically or disappeared. Notion moved its real AI capabilities behind a paywall most people don't realize exists. And Google, of all companies, quietly built something that outperforms most paid competitors. As someone who's evaluated countless tools and gotten burned before, I needed to understand what's actually worth my time and money in 2026.

The State of AI Note-Taking: It's Not What You Think

The note-taking space has fragmented in ways I didn't expect. We're no longer comparing "who has the best AI"-we're comparing fundamentally different philosophies about what notes should be.

NotebookLM represents Google's thesis: notes are a research container. You feed it sources, ask questions, get answers with citations. That's it. No daily capture flow, no inbox-to-system pipeline. It's brilliant at synthesis but useless for quick capture.

Notion took the opposite bet: notes are part of your entire workspace. AI doesn't exist as a separate feature, it's woven into docs, databases, and agents. Except here's the trap: the AI that actually matters lives on the Business plan at $20/user/month, not the Plus plan everyone looks at. I've been burned by this kind of hidden pricing before.

Obsidian went local-first. No AI built in. You wire it yourself with Claude, OpenAI, or whatever else you need. Your notes stay on your machine. It costs nothing except your evening spent configuring plugins.

Tana completely reinvented itself as a meeting-memory agent. That surprised me more than any other shift. It's not competing with Obsidian anymore, it's competing with Otter and Fireflies.

What This Means in Practice

Here's what I actually care about: retrieval at decision time. I don't care how beautiful my notes look if I can't find them when I need them.

NotebookLM wins that game if your notes are reference material, research PDFs, documentation, meeting recordings you want to extract insights from. The Audio Overviews feature is genuinely useful; I can absorb a technical whitepaper while walking. But it fails catastrophically if you're trying to capture fleeting ideas. There's no quick capture, no daily notes, no "I just thought of something, let me jot this down" workflow.

For team knowledge, Notion is still the right tool if you already live there. But I'm frustrated by the pricing architecture. The $10 Plus plan advertises AI capabilities that are only "trial" level. That's not transparency, that's deliberately obscuring the real cost. If you want full AI agents, you're paying $20 and then a metered bill on top. Budget accordingly.

Obsidian appeals to me as an engineer. Your notes are plain Markdown files. You control the entire stack. The plugins range from excellent to abandoned, but your core vault isn't hostage to anyone's business model. The tradeoff is real: I won't hand it to my non-technical team members, and setup takes an evening. That's the price of owning your infrastructure.

My Take: Start with Google's Free Tier, Then Decide

I'm going to be direct: start with NotebookLM free. It has zero friction, zero cost, and if you feed it anything (PDFs, websites, videos), the retrieval works. You'll know within a week if it solves your actual problem.

The mistake I see people make is thinking one tool handles everything. It doesn't. NotebookLM handles research. Obsidian handles long-term personal memory. Notion handles team knowledge (if you pay for Business). Tana handles meeting memory. Pick your actual bottleneck instead of adopting a universal solution.

I'm keeping Obsidian as my personal archive, the notes that matter to my career, the decisions, the lessons learned. Nothing vendor-dependent. Everything else, I'm experimenting with NotebookLM for research and Notion at the Business tier for team context. It's not elegant, but it matches how I actually work.

Your Turn

What's your actual bottleneck with notes right now? Is it capture, retrieval, or sharing? Tell me in the replies, I want to know what problem this space is still not solving.

Source: This post was inspired by "Best AI Note-Taking Tools Compared (2026)" by Dev.to. Read the original article

Written by Adil Sher

Full stack developer building high-traffic platforms, AI services, and custom web applications. Explore my portfolio, learn about my background, or get in touch.

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