✪ Curation as Knowledge Infrastructure: Building Archipelagos of Meaning - #53

A slower, time-tested alternative way to create value in the AI era: pick what’s relevant and show how it connects to the rest.

1) The Problem: Structural Scarcity in an Age of Abundance

Two weeks ago, I found myself searching for an old fascinating article, I had read many years ago, about content curation. I wanted to link it in a new paper I was drafting.

I remembered that in the old article, the author had been quoting two authors and a study, but I couldn’t retrace how those ideas connected.

But I couldn’t remember the author’s or the website name, and I had no more access to my old bookmark and links library.

So I set myself in research-mode and took out all of the tools at my disposal… but after 90 minutes of digging I had to give up on this idea. The web had swallowed the trail. The links were broken, couldn’t recall the name of the source, and ended up empty handed.

It is then that I realized something that I actually had never thought of before: even our best ideas decay when they aren’t connected to others.

It should be obvious, but I guess it isn’t. Knowledge without organization fades like a town that has no more roads connecting to it.

We live in a time where we are flooded with disconnected advice: strategies, perspectives, tactics, frameworks, systems, all standing in isolation from the rest.

Writers, authors, creators, all build their own tiny mansion on their chosen hill, but there are often no roads between hills and no map of how to drive back to town.

It looks as, overwhelmed by the explosive growth of content we may be lagging behind in building more knowledge infrastructures (scaffolding, hubs, bridges, paths, categories, groups, etc.) that help us make sense, navigate and understand whatever we may be interested in.

The result: content abundance and structural fragmentation. Lots of info but no easy way to navigate it as a whole. Each new piece of content competes for attention instead of building on what already exists.

2) The Lesson from Science

Look at the scientific world: New discoveries grow out of old ones. Every research paper stands on the shoulders of others, citing, challenging, extending, or reframing past work.

Bibliographies, citations, references, and peer review form a shared infrastructure of understanding.

That’s why science compounds knowledge.

In contrast, the digital economy it’s a festival with no history. Each writer presents his ideas as if no one existed before them. No references, no lineage, no context. If you think of it, it’s kind of absurd.

Yes, providing context, history, references, links requires a lot more work, but that’s how you distinguish who really knows his stuff, from the next self-elected expert claiming to have your back covered and promising to be your guide to wisdom.

The result is a culture of isolated insight, disconnected brilliant fragments with no history, coherence or direction.

The problem is that we have started rewarding originality over continuity. We prioritize novelty instead of synthesis. We create more material, but we rarely investigate how it fits with what’s already out there, let alone integrate, compare, or connect it.

Yet - for how I see it - the greatest value today lies not in adding other perspectives, but in revealing how existing perspectives relate:

• Who learned from whom

• How ideas evolved

• Where different systems / approaches / frameworks overlap or contradict

That’s what would transform scattered advice into wisdom and true understanding. And that’s also what could make many expert authors become trusted guides instead of being another “look what I know” knowledge performer.

3) Less Claiming, More Digging

So, how could we fix this?

How do we make more people realize that the way out from this shallow disconnectedness is not producing more essays, ideas, or personal successful stories (though those help)?

As I see it, the path to deeper understanding cannot be achieved by expanding the breadth of the horizon. Nor by claiming you have the correct vision. Nor by dramatically story-telling how you have realized that there’s a better way.

The depth required for better understanding can be achieved only through digging. Researching, investigating, experimenting and going beyond what is immediately visible. Finding otherwise invisible patterns, connections, bridges, gaps.

It seems so obvious, yet it is so alien for most.

We are out of sync with what is possible to see, and where we actually look at.

“What’s wrong with us?”, I wonder sometimes.

4) Time for a Reset: Use AI to Build the Roads

Given the above, the first thing I have learned in these 36-months working with AI is:

1. Don’t use AI to generate your articles and essays.
   Use AI to spar, outline, revise, correct and clean-up.
   You keep the writer’s seat.
   It’s tougher? Yes. It takes more time? Yes.
   .

2. Use AI to do research, investigation, questioning.
   Stuff that it would take you weeks to do - assuming you know how to do it - but that shines true light on understanding, showing relationships, connections, patterns, how things developed and how they relate to each other.

More specifically, use AI to:

• Cross-compare hundreds of sources in hours

• Visualize networks of ideas

• Highlight recurring metaphors or assumptions

• Spot contradictions that no one noticed

• Surface relationships between ideas, schools of thought, and sources

• Trace the history of concepts and who influenced whom

• Group similar approaches, systems and methods

• Highlight uncharted areas, ambiguous terrain and blind spots

• Map trends across hundreds of publications, books, documents or conversations

• Extract insights from long-forgotten archives or scattered interviews

When you use AI in this way, as a research assistant, AI becomes an engine of synthesis, not a generator of fancy expressions and witty phrases. Plus, it frees up significant time for you to interpret, select, and frame for your readers what’s relevant from what’s not. You remain the interpreter, the one who decides what matters and why. But you let AI assist you in the research and discovery process.

.

Once again: Do not use AI to write.

Use AI to go deep, so deep, you need oxygen tanks.

When you do this kind of research-driven synthesis, you create original insight from existing material. You don’t add more content to the existing noise.

You actually increase resolution in a specific direction.

You build knowledge infrastructure.

You make understanding easier.

5) Make Understanding Easier - In Practice

Let me give you some practical examples of things you can do to build high-value trust-building knowledge infrastructures:

1) Create an Evolution Timeline
Trace how ideas have evolved over time showing what gave birth to what. This way we can understand better how we have arrived at seeing things in a certain way or other.

Use AI to find out who influenced who and to dig up relevant historical links.
.
Examples:

• A Gathering of Flowers: Content Curation History in Other Words
  by Robin Good

• The Top 20 Milestones in AI (1943 to Present) by Rob Kelly

• The Evolution of Prompt Engineering by Mattafrank

• An Uneven History of Content Strategy by Rahel Anne Bailie

2) Curate a Newsradar
Bring together the most relevant articles and essays on the topic you are covering to summarize the different views and perspectives. Build a newsradar.

Use AI tools, like StackDigest by Karen Spinner to help find relevant material as well as to create summaries and synopsis of the good stuff you find.
.
Examples:

• This Week in Social by Joshua Parkinson (all social media news for social media managers)

• SmartBrief (weekly newsletters on specific corporate-level industry news)

• Techmeme (daily digest of tech-related news)

3) Build a Pattern Library
Identify and organize recurring tactics / strategies / models that define how people have been operating in a certain space.

Use AI to recognize key patterns across sources.
.
Examples:

• The Great Mental Models Boxed Set by Shane Parrish

• Business Model Navigator (monetization approaches)

• The Growth List (marketing tactics)

• Top 100 Mental Models by Michael Simmons

4) Curate a Learning Path
Put together a well-thought sequence of relevant readings, including essays, academic papers and book chapters from different authors that can act as a learning unit for the topic at hand.

Use AI to assist you in best sequencing these materials while gap-mapping additional resources and materials.
.
Examples:

• Learning Web Development: a Self-Guided Roadmap
  by Jaimie McMahon

• The Ultimate UX Reading List: These Are The 10 Best Books For Aspiring UX Designers by Jonny Grass

• Physics Learning Path by Susan Rigetti

• Self-Study Philosophy (A 9-Book Plan for Beginners) by Sam Rinko

5) Build a Proof Pack
Collect and organize a set of relevant case studies that provides tangible proof of outcomes, strategies used, obstacles encountered, and more.

Use AI to standardize/normalize data elements and to critically compare outcomes.
.
Examples:

• eBiz Facts newsletter by Niall Doherty (successful real-world examples of indie entrepreneurs)

• No-Code Exits by No-Code Exits (real success stories of profitable products made without writing code)

6) Design a Comparative Map / Decision Tree
Show a set of alternative approaches to one problem while integrating a method to guide the decision-making process to identify the best one in different situations.

Use AI to help you identify solutions you may not have considered and to assist you in critically analyzing the criteria to be used to develop a sound decision-making tree.
.
Example:

• Product Strategy Framework: The 5 Top-Performing Frameworks to Consider by Eric Metelka

7) Curate a Prompt Framework
Find, test and put together a set of prompts or a custom AI that solves a specific problem, interest or need.

Use AI to both uncover and stress test relevant prompts.
.
Examples:

• Turn Your Book Notes Into an AI-Powered Research Assistant by Sam Thomas Davies

• Yahini by Mia Kiraki 🎭 (context-rich AI system to generate on-brand keyword and editorial strategy)

• AI Abraham by Jay Abraham (interactive AI trained on the published writings and know-how of one of the greatest contemporary copywriters.

.

Each one of these example transforms otherwise disconnected insight into shared, publicly accessible understanding.

6) What *You* Can Do Today

If you are wondering how to start to get your feet wet in this direction, here some actionable advice you can start working on today.

1. Pick one recurring topic in your field.
   .

2. Ask AI to find 5–10 distinct schools of thought or experts on it.
   .

3. Compare them — where do they overlap or diverge?
   .

4. Summarize what each is best for (“use when…”).
   .

5. Add your perspective: what pattern do you see that others miss?
   .

6. Publish the synthesis as a map, field guide, or directory, not another opinion piece.

This is how you create understanding instead of more content. You build the roads others can travel.

7) Takeaway

Knowledge infrastructures build trust and credibility.

Why?

Every piece of knowledge infrastructure is a curated synthesis. Each curated synthesis is a visible act that shows:

• Proof: You cite and connect your sources.

• Depth: You reveal complexity instead of flattening it.

• Care: You help deeper understanding. You save others time and confusion.

a) In the near future, the most trusted expert authors won’t likely be those who publish the most insights but those who organize what already exists into knowledge infrastructures.

b) Curation is the art of building such knowledge infrastructures to create meaning. I have been systematically exploring and documenting how curation can be a tremendous value and credibility builder, for over 20 years. Subscribe to TRUST-able to join me in this journey and learn how we can all leverage this unique art to increase our understanding, credibility and thrust.

c) Consider AI the new construction crew. AI can help you research, analyze, and connect-map without replacing your perspective, but rather by supporting and extending it. Use it in your favour then, not to delegate your critical and creative abilities but to be your assistant investigator in finding proofs and in reconnecting what is now fragmented.

Don’t write about another island.

Build bridges among distant islands.

Map new archipelagos.

Article cover photo credit: Erick Morales Oyola - Unsplash

---

What I Can Do For You

a) Improve Your Credibility and Trust

• Analysis of your content, positioning and goals to identify key editorial strategies to create content that best aligns with your competence and that rapidly builds trust and credibility around your focus.

  .

b) Positioning and Personal Branding

• Critical review of your market positioning to identify key strengths and weaknesses. Define strategy to differentiate yourself from the competition while increasing the practical value you bring to your readers.

.

Interested?

Send me a direct message.

Follow a path with a heart.

From Koh Samui (TH)
Robin Good