If you prefer to read/listen to this newsletter in your browser, click here. 💡 The Big Idea: Small Language Models are the Key to Using AI in Your PKM System.AI is all the rage lately, and with good reason: it’s the most disruptive technology most of us have ever seen. It’s rapidly changing the way we work, and while some may view it as a threat, I personally feel (just like any other disruptive technology) it’s actually an opportunity. In this newsletter, I want to share why I feel AI is quickly becoming an essential component of a good PKM system. The True Purpose of PKMPersonally, I believe that PKM is much more than just connecting notes. It’s really about how information flows into and out of your world and how you make sense of that information to take consistent action on the things that really matter. Much like a technology stack, your PKM Stack must facilitate frictionless information flow between all of the apps that you use in your PKM system. At the top, we have the Identity level, which is your personal vision and values. The goal is to align all of the other levels of the PKM stack with this Identity level, providing the motivation to show up and take consistent action on the things that are important and the clarity to cut the things that aren’t. But in order to do that, we need to focus on a small subset of information that is relevant to us personally. And this requires a totally different approach than most people take to AI & LLMs. The Problem with Large Language ModelsLarge Language Models (LLMs) have a fundamental problem: they’re trained on vast datasets from across the internet, mixing verified facts, unverified claims, and complete fabrications. Because the models are trained on so much information (much of it junk), the responses are often wrong or misleading. For example, I occasionally receive requests via email to help people troubleshoot something in Obsidian that ChatGPT has told them they can do. However, the large language model draws from information that goes far beyond the scope of the app, so it frequently creates features, plugins, and integrations that don’t really exist. It basically assumes all information is true and useful. It really doesn’t have a filter, and frequently “hallucinates” or makes things up. (BTW, that’s not always a bad thing. If you’re brainstorming or playing with ideas, hallucinations can be a feature, not a bug. But let’s set that aside for now 😉) A large language model can give you answers that sound right, but it will never be able to provide the hyper-specific, practical information that offers real value when you put it into action. The Solution: Small Language ModelsFor quality answers, we need models trained on specific, curated data—essentially creating “small language models.” This mirrors how we humans operate: focusing on what matters to us while ignoring everything else. Small language models offer significant advantages:
The result? More “a-ha!” moments. More light bulbs turning on. More illumination, less hallucination. For example, imagine a language model trained exclusively on Obsidian for a moment. Such a model would be far more accurate when answering technical questions about how the app works when learning how to use it. Or imagine a model trained on how to use your PKM system to do more of what matters. It would be like having 24/7 access to a private PKM coach. Now, imagine a model that combines those two and is designed specifically to help you use Obsidian to do your best creative work. That’s exactly what I’ve built 😉 😎 Something Cool: My Custom Practical PKM AI Agent!I’ve created a custom AI agent inside my private community that is trained on all my course materials (Practical PKM, Obsidian 101, etc.). It can provide answers and responses that are specifically from the realm of personal knowledge management, or PKM, and gives you MUCH better responses than the LLMs can. Here are some examples of the things you can ask:
I’ve been messing with this all weekend, asking it all the questions I typically get whenever I lead a live cohort. It does an incredible job of not only answering questions but connecting with resources that will help you turn information into application (and, as a result, chaos into clarity). But don’t just take my word for it. Here’s a quick video I recorded after trying it out for myself: This custom AI agent is available inside the Practical PKM Hybrid Cohort, which is a combination of self-paced video lessons and live Q&A calls. I added this AI agent as a bonus, but I actually believe this might revolutionize the way people consume video courses. Being able to ask questions as you consume the material will significantly reduce the friction to take action and increase the likelihood of achieving the transformation you’re after. In this case, creating a custom PKM system that you can actually trust to turn chaos into clarity and do your best creative work inside of Obsidian. It's officially launching tomorrow, but the page is actually live now 🤫 You can join right now and get lifetime access for only $397 (less than half of the live cohort!) if you go to join.practicalpkm.com. 📚 Book Notes: Wild Courage by Jenny WoodWild Courage by Jenny Wood is the next book for Bookworm and came highly recommended. The author is a former Google leader and career coach who shares a lot of crazy personal stories to help shatter conventional wisdom about achieving your goals. She redefines nine negative traits (weird, selfish, shameless, obsessed, nosy, manipulative, brutal, reckless, and bossy) in an attempt to help you muster up the courage to smash through discomfort and chase what you really want. I really enjoyed this one. If you are someone who has been too afraid to do what’s in your heart to do, I recommend you pick this one up for yourself. You can download my mind map book notes here. — Mike P.S. In case you missed it (i.e., skipped straight to the bottom 😉), the Practical PKM Hybrid Cohort launches TOMORROW! There are 84 videos (over 8 hours of content!), and I even built a custom AI agent to help you apply the material as you build your own PKM system. More details (and sample videos) are available at join.practicalpkm.com. |
A weekly newsletter where I help people apply values-based productivity principles and systems for personal growth, primarily using Obsidian. Subscribe if you want to make more of your notes and ideas.
In this edition of Practical PKM: 💡 The Big Idea: A walkthrough of the new Bases Core Obsidian plugin 😎 Something Cool: A tool for converting Dataview queires to Obsidian Base files 📚 My book notes from The Organised Writer by Antony Johnston Prefer to read (or listen) on the web? Click here. 💡 The Big Idea: The New Bases Core Plugin is an Easy Way to Turn a Set of Notes into a Database in Obsidian Last week, the Obsidian team released version 1.9 to Catalyst supporters with a long-awaited...
In this edition of Practical PKM: 💡 The Big Idea: Lessons from the first ever LifeTheme Live event 😎 Something Cool: A plugin that gives Obsidian outlining superpowers 📚 My book notes from When by Daniel Pink Prefer to read (or listen) on the web? Click here. 💡 The Big Idea: PKM Should Be Personal. Last week, we hosted our first-ever LifeTheme Live event! 🎉 We had lifelong learners of all ages join us for a two-day intensive workshop where a small group dialed in their LifeTheme (one-sentence...
In this edition of Practical PKM: 💡 The Big Idea: The critical role of desire paths in PKM 😎 Something Cool: Inline callouts in Obsidian 📚 My book notes from Put Your Dream to the Test by John Maxwell If you prefer to read (or listen to) this newsletter in your browser, click here. 💡 The Big Idea: Ditch the prescribed organizational structure & follow the desire paths. A desire path is "an unplanned route or path (such as one worn into a grassy surface by repeated foot traffic) that is used...