How to Use AI to Build a Personal Glossary of Tech Terms You Actually Understand

Why Generic Definitions Don't Work for Me

When I first started learning to code, I kept a notes app full of tech definitions I'd copied from Wikipedia and Stack Overflow. "A webhook is a user-defined HTTP callback." Cool. What does that mean? I'd read it, nod, and immediately forget it. Three days later I'd be Googling the same term again.

The problem wasn't my memory. The problem was that those definitions weren't written for me. They weren't connected to anything I already knew. They didn't use examples from my life, my projects, or the specific context where I first encountered the word.

Once I started using AI to build a personal glossary — one where I actually shaped the explanation — everything changed. Terms started sticking because the definitions were mine. AI just helped me get there faster.

Here's the system I use, and how you can set it up in about 30 minutes.

The Concept: Definitions You Write Together with AI

The goal isn't to ask AI "what is X" and paste the answer into a doc. That's just outsourcing the same problem. The goal is to use AI as a Socratic tutor that helps you arrive at a definition that makes sense to you specifically.

The process looks like this:

1. You encounter a term you don't fully understand.
2. You ask AI to explain it — but you give it context about who you are and where you got stuck.
3. You ask follow-up questions until it clicks.
4. You write the definition in your own words.
5. You ask AI to check your definition for accuracy.
6. You save it in your glossary with the date and context.

That last part — writing it yourself and having AI check it — is the secret. It forces you to synthesize the information, which is what actually moves it into long-term memory.

The Prompt Pattern That Makes This Work

Generic prompts get generic answers. The prompt pattern I use gives AI enough context to explain things at exactly the right level. Here's the template I start with every time:

That last line — "keep it under 150 words" — is important. Long explanations are where understanding goes to die. If I can't get a concept in a short, tight paragraph, I'm not ready to write my glossary definition yet. I'll ask a follow-up question first.

The Check-Your-Work Step Most People Skip

After AI explains the term and it finally clicks, I write my own definition in plain English. Usually 2-4 sentences. Then I run it back through AI with this prompt:

That last instruction — "don't rewrite it for me" — is crucial. If you let AI rewrite your definition, you're back to copy-pasting someone else's words and calling them yours. You want corrections, not a replacement.

Sometimes AI will say "That's accurate, but you might also want to note that..." and you get a bonus detail that makes the definition richer. Other times it'll catch a subtle misconception before it gets baked into your brain permanently. Either way, it's worth the extra 60 seconds.

How to Actually Structure Your Glossary

I keep mine in Notion, but a markdown file, Google Doc, or even Obsidian all work fine. The format matters more than the tool. Here's the structure I use for each entry:

That "Still fuzzy on" field is gold. It turns your glossary into a living research queue. Every time I review it, I have a ready-made list of follow-up questions to explore. It also keeps me honest — if a term has been "still fuzzy on" for weeks, I know I haven't actually done the work of understanding it yet.

The Weekly Review That Keeps It Useful

A glossary you never revisit is just a graveyard of definitions. Once a week — I do it Sunday evenings with coffee — I spend 10-15 minutes on this:

1. Scan for "Still fuzzy on" entries. Pick one and have an AI conversation to close the gap. Update the entry afterward.

2. Look at entries from 2-3 weeks ago. Can you still explain the term without reading your definition? If not, ask AI for a different analogy. Sometimes the second angle is what actually makes it stick.

3. Look for missing links. If "webhook" links to "API" but you don't have an API entry yet, that's a gap. Add it to a "To Define" list and tackle it next session.

This sounds like a lot but it's genuinely 15 minutes. And it compounds fast. After three months of this, I noticed I was Googling basic terms way less — and when I did look something up, I could actually evaluate whether the definition I found was correct.

One Thing I'd Tell My Past Self

Don't wait until you feel "ready" to start your glossary. Start it the next time you Google a tech term and feel vaguely unsatisfied with what you find. That fuzzy, "I sort of get it" feeling is the exact moment to open a chat with AI and work through it properly.

Your glossary at 10 entries feels useless. At 50 entries it starts feeling like a resource. At 100+ entries it becomes something you're genuinely proud of — a record of how your understanding has grown.

Mine has 140 entries now. Looking back at the early ones — written when I barely knew what an API was — is one of the most motivating things I can do when learning feels slow. It's proof that the process works, one weird jargon term at a time.