Knowledge OS
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Turn information overload into lasting expertise

Knowledge OS gives you the cognitive frameworks and AI-powered workflows to capture, connect, and retrieve what you learn — so your knowledge actually compounds over time, not just your note count.

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Knowledge OS

"The goal was never better notes — it was the kind of understanding you can actually use under pressure, and a system rigorous enough to get you there."

Val (Valdas) Samonis

What you'll learn

What you'll be able to do

  • Build a personal knowledge management (PKM) system that integrates both theoretical frameworks and hands-on experiential tools
  • Distinguish and apply the major learning models — from Kolb's experiential cycle to Bloom's taxonomy — to accelerate real-world skill acquisition
  • Select and configure the right AI-assisted tools (Obsidian, Notion AI, Roam, Mem, etc.) for capturing, linking, and retrieving knowledge
  • Design a second brain workflow that reduces cognitive overload and surfaces the right knowledge at the right moment
  • Apply spaced repetition, elaborative interrogation, and retrieval practice to turn consumed content into durable, usable expertise
  • Evaluate and audit your own knowledge gaps systematically, creating a feedback loop for continuous professional and intellectual growth

How it works

A school that adapts to you

This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.

We learn your level

A quick placement check tailors your starting point so you're never bored or lost.

Lessons adapt as you go

Each lesson is written for your pace and your goal, adjusting as your skills grow.

Your AI coach keeps you moving

Checkpoints, feedback, and gentle nudges turn progress into a real result.

The curriculum

What's inside your school

6 modules · 27 lessons

1

Foundations of Knowledge Management

Establishes the core vocabulary, mental models, and learning science principles that underpin every effective personal knowledge system.

  • 1.1The Knowledge Problem: From Information Overload to Usable InsightIncluded
  • 1.2How We Actually Learn: A Map of Learning ScienceIncluded
  • 1.3Theoretical Learning Models: Bloom, SOLO, and the Ladder of UnderstandingIncluded
  • 1.4Experiential Learning Models: Kolb's Cycle and Reflective PracticeIncluded
  • 1.5Mapping Your Current Knowledge EcosystemIncluded
2

Capturing and Structuring Knowledge

Teaches proven frameworks for collecting, tagging, and organizing information so it stays findable, linkable, and actionable.

  • 2.1Progressive Summarization: Distilling Notes to Their EssenceIncluded
  • 2.2The PARA Method: Projects, Areas, Resources, and ArchivesIncluded
  • 2.3Atomic Notes and the Zettelkasten PrincipleIncluded
  • 2.4Tagging, Metadata, and Search StrategyIncluded
3

AI-Powered Tools for the Modern Knowledge Worker

Evaluates and configures today's leading AI-assisted PKM platforms so learners can select and deploy the right stack for their workflow.

  • 3.1The PKM Tool Landscape: Obsidian, Notion AI, Roam, Mem, and BeyondIncluded
  • 3.2Setting Up Obsidian as a Linked Thinking EnvironmentIncluded
  • 3.3Using AI to Capture, Summarize, and Surface KnowledgeIncluded
  • 3.4Automating Knowledge Flows: Zapier, Make, and API BasicsIncluded
  • 3.5Evaluating and Auditing Your Tool StackIncluded
4

Retention, Retrieval, and Deep Understanding

Trains the evidence-based study techniques that convert consumed content into durable, usable expertise rather than passive familiarity.

  • 4.1Spaced Repetition: Beating the Forgetting CurveIncluded
  • 4.2Retrieval Practice and the Testing EffectIncluded
  • 4.3Elaborative Interrogation and the Feynman TechniqueIncluded
  • 4.4Interleaving and Desirable DifficultiesIncluded
5

Building Your Second Brain Workflow

Integrates capture, structure, and retention techniques into a cohesive, daily-use Second Brain that reduces cognitive load and amplifies output.

  • 5.1Designing Your Daily Capture and Processing RitualIncluded
  • 5.2Linking Ideas Across Domains: Building Your Knowledge GraphIncluded
  • 5.3The Weekly Review: Maintaining a Living Knowledge SystemIncluded
  • 5.4From Notes to Output: Writing, Presenting, and Sharing KnowledgeIncluded
6

Continuous Growth: Auditing and Evolving Your PKM

Establishes a systematic feedback loop for identifying knowledge gaps, measuring growth, and keeping the entire system aligned with evolving professional goals.

  • 6.1Knowledge Gap Analysis: Finding What You Don't Know You Don't KnowIncluded
  • 6.2Learning Plans and Deliberate Practice CyclesIncluded
  • 6.3Measuring Knowledge Quality, Not Just QuantityIncluded
  • 6.4Evolving Your System: When and How to Refactor Your PKMIncluded
  • 6.5Your Personal Knowledge OS: Putting It All TogetherIncluded

Who it's for

Is this you?

The overwhelmed researcher

Drowning in papers, citations, and half-processed ideas, they need a structured system to turn academic reading into usable, connected knowledge.

The independent consultant

They sell expertise for a living and need a PKM that surfaces the right insight for the right client at a moment's notice — not a search bar lottery.

The self-directed learner

Voracious reader and podcast listener who suspects they retain far less than they consume and wants the science-backed system to finally change that.

The senior knowledge worker

Decades of expertise lives in their head and scattered files; they're ready to externalize, structure, and future-proof their hard-won professional knowledge.

The PKM early adopter

Already using Obsidian or Notion but their system is a beautiful mess — they need the cognitive frameworks and audit process to make it actually compound.

The ambitious generalist

Working across domains — strategy, writing, design, data — they need a second brain that links ideas across fields and helps them think faster, not just file faster.

Questions

Frequently asked

Your teacher

A note from your teacher

Val (Valdas) Samonis

Val (Valdas) Samonis

If you're reading this, I'd guess you're not suffering from a lack of information. You're suffering from an excess of it — and the creeping suspicion that very little of what you read last month is actually available to you right now, when you need it.

I've been in that position. I was a diligent note-taker. I had folders inside folders. I highlighted books and exported Kindle clippings into apps that I never opened again. I was, by every surface metric, someone who "managed their knowledge." And yet I'd sit down to write a proposal or prepare for a difficult conversation and find that the ideas I needed — the ones I'd definitely read somewhere — were simply gone. Filed and forgotten.

That's what sent me deep into the research on how learning and memory actually work: not productivity hacks, but the cognitive science. Spaced repetition. Retrieval practice. Elaborative interrogation. The SOLO taxonomy. Kolb's experiential cycle. These aren't buzzwords — they're the mechanisms by which information becomes understanding, and understanding becomes something you can act on. I built Knowledge OS because I wanted a curriculum that took that science seriously and then connected it, practically and honestly, to the tools most of us are actually using in our work.

What I've tried to build here is rigorous without being academic, and practical without being shallow. We cover the theory because the theory explains why the practice works — and that understanding is what lets you adapt the system when your circumstances change, rather than abandoning it the next time a new app comes along. We cover the tools because the right infrastructure genuinely matters, and because AI has changed what's possible in PKM faster than most guides have caught up with.

My promise to you is this: if you work through this curriculum and implement what it asks of you, you will not end up with a prettier folder structure. You will end up with a system that compounds — one where the knowledge you acquire this month makes you better at acquiring and using knowledge next month. That's what a real Knowledge OS does.

I'm glad you're here. Let's build something that actually works.

Val (Valdas) Samonis

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  • 6 modules, 27 lessons
  • AI-adaptive lessons tuned to your level
  • Quizzes & checkpoints to lock in progress
  • Your own AI learning coach
  • Learn on any device, at your pace
  • Full access for as long as you're subscribed