Personal Knowledge Graph

"I can't find that great prompt from last week..." Sound familiar? Here's my complete system for turning AI interactions into permanent knowledge assets. A thread about building real AI power 🧵 95% of your AI interactions are wasted. • Prompts get lost • Insights fade • Patterns disappear • Learning evaporates • Value dies Here's how to fix that forever. The problem is that you're treating AI like a magic 8-ball: • Ask question • Get answer • Forget both • Repeat tomorrow This is why you're stuck at amateur level. I call my system the SCALE method: S - Systematic capture C - Connected knowledge A - Active processing L - Leveraged learning E - Exponential growth Step 1: Systematic Capture Every AI interaction needs: • Prompt documentation • Context preservation • Response storage • Pattern recognition • Success tracking Nothing valuable gets lost. My capture template: • Project • Problem context • Prompt used • Key results • Working patterns • Next steps • Related ideas This becomes your knowledge foundation. Step 2: Connected Knowledge Don't just store. Connect: • Prompts to contexts • Results to projects • Patterns to use cases • Insights to knowledge • Systems to systems When I find a great prompt, I: 1. Save the prompt 2. Document the context 3. Link to similar cases 4. Note the patterns 5. Create templates 6. Build connections Step 3: Active Processing Weekly routine: • Review captures • Process deeply • Extract insights • Build connections • Find patterns • Create frameworks • Scale what works • Update systems Step 4: Leveraged Learning Turn every interaction into: • Reusable prompts • Context templates • Pattern libraries • Knowledge assets • System improvements Step 5: Exponential Growth The system compounds through: • Template evolution • Pattern recognition • Context enrichment • Knowledge connection • System scaling My framework: • Daily: Capture • Weekly: Process, Connect & Identify Patterns • Monthly: Synthesize & scale • Quarterly: Review & revise • Yearly: Transform & transcend Key tools in my stack: • PKM system for structure • Journaling for capture • Templates for consistency and productivity System > Tools Success factors: • Consistent capture • Regular (batch) processing • Active connection • Strategic review • Continuous improvement Results: • Find any prompt instantly • Never ask twice • Build on every interaction • Create unique value • Scale infinitely Steps: 1. Start capturing everything 2. Build basic templates 3. Create simple workflows 4. Make connections 5. Review regularly 6. Scale gradually PKM isn't about perfect systems. It's about consistent growth. Start small. Build gradually. Scale naturally. Grow infinitely. I've put my complete system into a comprehensive course. From basics to advanced integration. Leveraging AI is one of the many topics I cover in the course. Pre-order now: https://lnkd.in/eWtdEiaN Transform your AI game forever.

A practical and personal approach to managing your information I’ve written about it before: my ontology. Despite the somewhat odd word, I recommend anyone starting with PKM (Personal Knowledge Management) to create one and let it grow over time.

The ODI was founded in 2012 by Sir Tim Berners-Lee and Sir Nigel Shadbolt, placing us at the heart of the data economy. Our primary mission is to foster transparency, accountability, and innovation through data.

Probably the weirdest post of the week that raises many ethical questions, mostly connected to our right to moral and physical integrity. For me it confirms… | 16 comments on LinkedIn

How Infinite Canvas and spatial thinking are changing the world of Personal Knowledge Management (PKM)

This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly defined as resources of structured information about entities related to an individual, their attributes, and the relations between them. PKGs are a key enabler of secure and sophisticated personal data management and personalized services. However, there are challenges that need to be addressed before PKGs can achieve widespread adoption. One of the fundamental challenges is the very definition of what constitutes a PKG, as there are multiple interpretations of the term. We propose our own definition of a PKG, emphasizing the aspects of (1) data ownership by a single individual and (2) the delivery of personalized services as the primary purpose. We further argue that a holistic view of PKGs is needed to unlock their full potential, and propose a unified framework for PKGs, where the PKG is a part of a larger ecosystem with clear interfaces towards data services and data sources. A comprehensive survey and synthesis of existing work is conducted, with a mapping of the surveyed work into the proposed unified ecosystem. Finally, we identify open challenges and research opportunities for the ecosystem as a whole, as well as for the specific aspects of PKGs, which include population, representation and management, and utilization.

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Personal Knowledge Graphs

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Context is the product

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In today’s digital age, Personal Knowledge Graphs is gaining traction. These graphs are not just a buzzword but a powerful tool for…

A less-known yet undeniably astonishing parallel pandemic was the explosion of Personal Knowledge Management tools. There were a dozen PKM tools by the end of

Hello and welcome. This is the second article in the series on Personal Knowledge Management (PKM). The previous part was about the explosion of PKM tools in

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Your personal knowledge network - an intuitive extension of your brain to manage all your digital stuff just the way you think.

A privacy-first, open-source platform for knowledge management and collaboration.

1/ 3 months ago we raised $1.9M. Big updates since then: TLDR -Built epic team -Pivot from PKM, creating new category CKM -New vision: a Collective Brain, sort of a social network for learning, collaboration, innovation -Start w/ moonshot research teams https://t.co/hdgljRb9zP