AI news, down to how we use it.
We read the week in AI and write down only what a small team can actually change. Every piece is written with AI and checked by an editor against its sources.
Translated from the Korean original by AI; native-speaker review pending.
- NO. 17
Which AI for Which Job — The Uses Companies State Themselves and the Test We Use
Documents, coding, voice, images, bulk processing. We gathered the uses each company recommends in its official materials, and laid out a way to find out in 30 minutes whether one fits your work.
- NO. 16
Which AI Is Used the Most — Why the Numbers Differ
How far ahead is ChatGPT? We sorted out why the numbers differ from one research firm to another, and what the preference rankings based on people's own votes show.
- NO. 15
This Week in AI — Two Companies Said "Cheaper," Google Said "Stronger, for a Few First"
In the last week of September, OpenAI and Anthropic released models that do the same work for less, while Google opened Gemini 4 Argon to a limited group first. We checked official sources to sort out what changed and what it means for people who work with AI.
- NO. 14
Before You Borrow a Prompt — Checking the Source and Six Blank Lines
Why doesn't a prompt someone shared work when you paste it as is? How to pick official material, and six pre-fill lines that work with any prompt.
- NO. 13
Three Things From the 75-Year AI Timeline That Stay With Our Work — and Standards for a Stack That Lets You Work Like a Team
We read the timeline from Turing to agents from the standpoint of our own work. Here are the standards that outlast tool names.
- NO. 12
To Erase the "Written by AI" Feel, What to Do Before Checking Sentences
AI writing gives itself away not because of a few sentences but because of the attitude of the piece. We are publishing our editing standards.
- NO. 11
Check Structure Before the Idea — Five Steps for Plans and IR Materials
Grant applications and pitch decks are often rejected because of structure, not the idea. Here are five steps for pre-checking them with AI.
- NO. 10
Three Lenses for Business Decisions — Stagnation Signals, the Praise Trap, Outcome-Based Pricing
When you work hard but stay in place, when everyone says it's good, when you want to change your price. Three questions to check your judgment.
- NO. 09
Connect It and Your Morning Gets Shorter — The Order for Attaching Briefing, YouTube and Design Tools to AI
There is a lot of talk about connecting email, calendar, YouTube and design tools to AI. Whatever you attach, following the same order means fewer accidents.
- NO. 08
When There Are Ten Thousand Skills — Choosing, Vetting, and Scanning Before You Install
The skills you can attach to AI have exploded in number. Having many is not a choice but a supply-chain risk. Here are the three-step standards we use.
- NO. 07
Three Places Where Time and Money Leak When You Work With AI
You repeat the same explanation every time, you wait for jobs to finish, and you pay for data nobody reads. Here are the three leaks and how to plug them.
- NO. 06
Ask Instead of Asserting — Rewording Sentences to Reduce AI Flattery
Adding "be honest with me" still gets you an AI that takes your side. What needs to change is not the demand but the shape of the sentence. Ready-to-use example sentences included.
- NO. 05
Instructions You Give AI Are Debt, Not an Asset — Why We Try Deleting Them Every Quarter
The belief that piling up rules makes AI smarter may be wrong. Here is how to cut instructions down and measure whether cutting them causes any problem.
- NO. 04
When Models Change Every Week, Five Standards for a Small Team at Work
If you switch every time a new model appears, work grinds to a halt. If you stick with one model, costs leak. These are the five standards a small team set so it can stay steady.
- NO. 03
When AI Reads the Ingredient Label for You — How We Made It Stop Saying "It's Safe"
Connecting an external tool to an AI assistant turns its answers from "a feeling" into "evidence." Here is the rule we set while building the Safelist connector: say only as far as "not seen."
- NO. 02
Weekly AI News #1 — Google's Gemini 4 Arrives, and Why the Strongest Models Aren't Given to Everyone
On September 30 Google unveiled Gemini 4 Argon, and in early September three companies all opened their security-focused models only to "verified defenders." As models get faster, the way they are released is changing.
- NO. 01
Welcome to AP News — We Write About "So What Do We Do?", Not Just the News
There is no shortage of AI news, but it is hard to see how any of it applies to your own work. AP News reads the week's AI news and writes down only what a small team can actually change.