Opinion + Experience + Fact (45% opinion · 30% experience · 20% fact · 5% fiction) — Written in collaboration with AI — I discuss, I do not outsource.

Chapter 1. Ideas Came Easy. Writing Took Practice.

20+ years of building. 40+ products shipped. Plenty of stories to share. What took longer to develop was articulation. English came to me later in life. The ideas came fast.

First principle: Ideas are abundant; the scarce resource is clear articulation that other people can actually use.

Chapter 2. Two Writing Desks in One Home

When our kids want to write something, they know exactly where to go. For what to write — the idea, the angle, the thing worth saying — they come to me. For how to write — grammar, structure, polish — they go to their mom. She is a technical writer. Yes, our family literally has two service desks. And yes, the queue at her desk is always longer.

First principle: Separating what from how is not a weakness — it is how you get both right.

Chapter 3. Finding My Own How Partner

Today I finally have a how partner. The Age of Google taught me how to learn — search, read, find sources of truth, then stitch those into a working picture. The Age of AI gives me a different mode. AI can answer questions too — that is a valid use. What matters more to me is the discussion mode.

First principle: Tools change, but the job is the same — turn information into working systems. Google did it with links. AI does it with discussion.

Chapter 4. Why Discussion Beats One-Shot Answers

Under the hood, AI predicts the next best token from the context it has. A bare question gets a generic answer. What emerges from real discussion is articulation — work the two of us did together. Google gives you results. AI discussion gives you articulation.

A recent MIT study compared writers who used an AI assistant passively versus those who engaged it as a discussant. Discussion sharpens you over time. Outsourcing sharpens the AI.

First principle: If the tool does the thinking, your brain goes idle. To grow, you have to carry the reasoning and let the tool carry the output.

Chapter 5. The Idea Lives in Your Head, Not in the Prompt

The idea lives in your head. That is the whole problem. When I ask a question, the words on the screen carry only a fraction of my actual context. Engineers have known this for a long time — rubber duck debugging says: explain your bug to a rubber duck. The duck does not answer. But the act of explaining forces you to externalise what you implicitly know — and half the time, you find the answer before you finish the sentence.

AI works the same way, with one big upgrade. It listens, pushes back, and asks what you missed. Each exchange pulls more context out of your head and into the shared space.

First principle: The real bottleneck is not the model; it is your ability to externalise your own context so the model has something real to work with.

Chapter 6. Four Lenses I Read (and Write) Through

Two decades of reading others' writing taught me to ask one question first: what kind of writing is this? Is it fact — something I can verify? Is it experience — something this person lived through? Is it opinion — a position, even an informed one? Is it fiction — a hypothetical, a scenario, a thought experiment?

The answer changes how much weight I give it. An engineer's lived experience building a sensor driver is different from an analyst's opinion about IoT trends. All four have their place. They are just different.

First principle: Every reader silently sorts what they read into fact, experience, opinion, or fiction. Labeling that sort explicitly is just honesty made visible.

Chapter 7. The Responsibility Flip: Reader to Writer

Today I am writing. That changes my role. As a reader, I could quietly judge what kind of writing each post was. As a writer, I owe the reader what the reader used to have to figure out alone. Saying opinion out loud is a small act. It lets the reader weigh it accordingly.

First principle: Long-term trust comes from showing your confidence and perspective directly — letting readers see what they are weighing.

Chapter 8. The Four Categories and the Math

Fact — something verifiable. A cited benchmark, a proven principle, numbers I can back up with a source.

Experience — something I lived through. A specific project, a specific bug, a moment on the factory floor.

Opinion — a position, even an informed one.

Fiction — speculation, hypothetical, a thought experiment. Humor counts.

The formula is simple. My AI agent and I read the draft paragraph by paragraph. We tag each one by category. We total the percentages. That becomes the label at the top.

First principle: Posts travel further than their author. A clear contents label keeps the post honest wherever it lands.

Chapter 9. What My Stamp Will Look Like

Words first, percentages in brackets — telling you the ratio of opinion, experience, fact, and fiction in the piece you just read. If you take one thing from this: writing online is more useful when readers know what they are reading. I am going to make that easy.

Next: a pattern I have watched repeat on project after project — and what finally stops it.

First principle: A visible commitment is more durable than a stated intention. The stamp at the bottom of every post is the commitment made visible.