Why I Always Gloss Technical Terms in Plain Language

In this blog, whenever I introduce a technical term, I add a short plain-language explanation right next to it.

For example, when I write "separation of powers (here meaning: dividing execution, review, and final approval among separate agents so that no single one can act unchecked)," I follow it immediately with a concrete note about how that principle works in the context of AI. When I write "subagent (meaning: a child AI agent — one of several specialized AI helpers operating inside a larger multi-agent system)," I add that parenthetical so that readers who are new to the concept can keep up.

This is one of the small rules built into this project. Internally, I call it the plain-language gloss rule. This chapter is about that rule itself — specifically, why I bother adding these glosses at all.

Where Readers Stop When They Hit a Wall of Jargon

Try reading a few sentences packed with unfamiliar terms, and you will notice what happens inside your own head: the process of building a mental picture stops.

Take this sentence, for instance:

"In this project, the Copywriter subagent (meaning: the AI agent responsible for drafting articles) generates body text from a SPEC (meaning: a structured content specification document), and the Brand Voice Editor runs a tone check before the content passes through the QA gate (meaning: the quality review checkpoint)."

For someone who works with system design every day, that reads as completely normal. But for someone just starting out with AI tools, the very first term — "subagent" — is already a stumbling block. Add "SPEC," "Brand Voice Editor," and "QA gate" in quick succession, and even though the sentence structure is grammatically clear, the reader cannot form a mental picture of what is actually happening.

This is not a failure of the writer. It is a mismatch between the writer's frame of reference and the reader's.

When three or more unfamiliar terms appear in a row, the human brain tends not to think "I will look that up later." It thinks: "This article is not for me." I know this because I was that reader once.

So I gloss. Not by expanding each term into a full explanation, but by inserting a brief note right after the word — inline, in parentheses.

Something like: "subagent (meaning: a child AI agent handling one specific task within a larger system)," "cron (meaning: a scheduler — a mechanism that runs a task automatically at a set time)," "Kill Switch (meaning: an emergency stop — a mechanism that halts automated processes on demand)."

That one-line insert is enough. The reader who did not know the term can continue without losing the thread. The cost of following along drops sharply.

Who This Rule Is Really For

To be honest about the motivation behind this rule: when I first started doing it, I was not primarily thinking about readers. The original reason was more self-serving — glossing terms forces me to organize my own thinking.

But as I kept writing, I noticed a side effect: the act of adding a plain-language gloss naturally broadened the range of people who could follow the text.

The reader I have in mind for this blog is someone I describe in my design notes as having solid general IT literacy, but no particular background in AI agent systems (here meaning: setups where multiple AI tools are linked together and work in sequence). Think of a systems administrator or in-house engineer at a small-to-medium company, in their thirties or forties, who has started experimenting with AI tools but is stuck at the question of who manages multiple agents and how.

When technical terms pile up without explanation, that reader hits "this seems complicated" and stops. When a one-line gloss is there, the same reader thinks "ah, I see what they mean" and keeps reading.

And crucially: the gloss is often what gets a reader from "interesting" to "I could try something like this myself." An article dense with unexplained jargon tends to land as "wow, impressive" and go no further. An article that says "here is what I tried and what happened" — in language anyone can follow — moves people toward "maybe I could try that too." That second outcome is more aligned with what this project is for, so the choice is intentional.

A Side Benefit I Did Not Expect: It Checks My Own Understanding

After running the plain-language gloss rule for a while, I noticed something I had not anticipated.

When you try to gloss a technical term, you find out exactly how well you actually understand it.

Here is an example. One term I use in this project is "passive approval (meaning: a flow in which the absence of a veto within a set time window is treated as automatic approval)." This project uses a mechanism where, if no one triggers the Kill Switch within the deadline, the system treats that as a green light and proceeds. When I first tried to reduce that to a one-line gloss, I could not get it right. My first attempt was: "if you say nothing, it counts as yes." Close, but the nuance felt off. "A time-bound veto window — when the deadline expires without a stop signal, approval is assumed" got closer.

Going through that process brought three things into alignment: the intent behind the design decision, the actual behavior of the system, and the precision of my language.

Conversely, I noticed that when I can write a term in jargon and move on without any friction, I am often just riding on the surface of the word — and my real understanding may be shakier than it looks.

The ability to write something in difficult language can mask shallow understanding. Once I recognized that, I started using the plain-language gloss rule less as a tool for readers and more as a self-check on my own comprehension.

At this point, that secondary function might actually be the bigger benefit.

If you genuinely understand something, you should be able to explain it in everyday language. If you cannot, that is a signal to go back to the design and think it through again. That feedback loop is what this rule runs on.