01The operator stopped to ask about two words before deciding
One day in July 2026, the operator was working through a task with an AI. The AI's explanation used the Japanese word honkeiyaku, which can be read as "this contract" or as "the main contract". Before going any further, the operator asked the AI what exactly would be contracted.
The operator then asked about the contract a second time. On the same day, the AI used the word "asynchronous", and the operator asked what it meant in this particular context.
The record holds the three questions and shows that the work continued after them. It does not include the full text of the AI's answers. The pattern is still clear. When an unfamiliar word appears, stop and ask what it means. Decide whether to go ahead only after hearing the answer.
This episode looks at why that small habit decides the quality of an approval.
02An approval that leaves a word unclear agrees to only part of the plan
Replying "go ahead" to an AI's plan means agreeing to what the plan says. The plan is made of words. If one of those words is unclear to you, then for that part you have agreed without knowing to what.
The AI does not draw this line. Once it hears "yes", it treats the whole plan as accepted and moves on. The unclear word goes into the next step carrying the meaning the AI had in mind.
| Aspect | Approve without asking | Ask, then approve |
|---|---|---|
| What you agreed to | The meaning the AI had in mind | The meaning you understood |
| When a mismatch shows up | After the work is done and results appear | Before the approval |
| Cost of a mismatch | Rework, or running on a wrong premise | One question and one reply |
| Time spent | Looks like none, but is paid later | One or two minutes |
The right-hand column costs one typed question. The cost in the left-hand column keeps growing until someone notices the mismatch.
03When one word has two meanings, the content of the approval can swap
Neither of the two words the operator asked about has a single meaning.
In a Japanese contract, honkeiyaku usually refers to the document itself, "this agreement". In a business deal, the same word often means the definitive contract signed after a provisional contract or a letter of intent. The first reading is about the document in front of you. The second is about a contract that has not yet been signed. Which reading you take changes what you are approving.
"Asynchronous" is the same. MDN, the widely used web reference, lists two uses. In communication, it describes an exchange where sending, receiving and processing do not wait on each other, as with email. In software design, it describes code that asks for a task to be done and carries on without waiting for that task to finish.
In the software sense, "this step will be asynchronous" also means the result will not appear on screen straight away. That affects the people who use the system and how long they wait. In the communication sense, it is about a working practice where nobody expects an immediate reply. One word, two very different things to approve.
The person reads the word in the sense they know. The AI wrote it in another sense. A "yes" exchanged in this state means the two sides have agreed to different things.
04Four kinds of words are worth asking about
There is no need to ask about every word. The words worth asking about fall into four kinds.
New words
Technical terms, terms from another department. Do not read them by guesswork.
Two-meaning words
Words like "asynchronous" whose meaning shifts with the setting.
Everyday words used technically
Words like "significant" or "equivalent", where the everyday and technical senses differ.
Shorthand the AI coined
Short labels the AI started using on its own during a long piece of work.
The boundary matters too. Words whose meaning would not change your decision can be left alone. If you do not know the name of an internal component, but the behaviour of the finished result is settled, the name does not affect the approval.
There is one test. If this word meant something else, would you still approve? If the answer could change, ask.
Japan's Council for Cultural Affairs issued guidance on writing official documents in 2022. As a rule for writers, it asks them to avoid confusion with words that carry a different meaning in daily use. An AI does not follow that rule every time, so the reader has to pick out the words where confusion is likely.
05In material review, a misread word becomes the review decision
Take a pharmaceutical company that uses AI in promotional material review. Ask the AI to read a draft and it may return a finding such as "this wording stays within what can be called equivalent to the comparative trial results".
If "equivalent" means equivalence shown by a formal statistical procedure, the finding is one thing. If it means the numbers are close, the finding can point the other way. The first needs a trial designed for it. Writing the second into a material makes an unsupported comparison.
"Significant" works the same way. Does it mean statistically significant, or important and useful? When that word appears in an AI finding, ask which sense is meant before using the finding.
| Word in an AI finding | Technical sense | Everyday sense | Effect of a mix-up |
|---|---|---|---|
| Equivalent | Equivalence shown in a trial | The numbers are close | An unsupported comparison gets through |
| Significant | Statistically significant | Important | A difference is claimed where none was shown |
| "This contract" | The document itself | A contract still to be signed | Work proceeds on a contract that does not exist |
| Asynchronous | Processing that does not wait | No immediate reply expected | Screen behaviour or practice is approved by mistake |
The same holds when an AI or a developer builds the review system itself. A specification will contain development terms such as "asynchronous", "queue" or "back end". If a reviewer is going to approve it, have the AI restate in business terms what each word changes in the review process, and approve after that.
06An AI uses words without defining them and takes "yes" as proof of understanding
Two things on the AI side cause this mismatch.
First, an AI picks words that fit the flow of the conversation, but it does not check whether the reader knows them. A word the AI started using during a long task feels explained to the AI. To the person, it is still a word they saw once somewhere.
Second, an AI tends to go along with the user. A 2023 paper by Anthropic researchers reports that leading AI assistants commonly give answers that match the user's views, and that human raters' preference for such answers is one likely cause. When the user says "yes", the AI accepts it and continues. It rarely stops to ask whether the user actually understood.
Anthropic's own documentation lists ways to reduce AI errors, including telling the model it may say it does not know and asking it to back each claim with a source. The same page says these steps do not remove errors entirely, and that critical information should be checked before high-stakes decisions. Asking what a word means is the first part of that check.
07From tomorrow: before approving, ask for the meaning in context and its effect on the decision
There are four steps.
- Mark the words that snag. Before approving, pick out words of the four kinds in section 4.
- Ask for the meaning in this context. Lay out the candidates: "Does this word mean A here, or B?"
- Restate it in your own words. Reply "So you mean this" and have the AI say whether that is right.
- Decide with the meaning settled. Approve in that sense, or add the meaning to your approval.
With a report full of terms, you can get ahead of the problem. Before approving, ask: "List five words in this plan that I might read in a different sense, and give their meaning here." The AI supplies the candidates itself, so fewer slip through.
It also helps to add one line to the approval for any word that is easy to misread. Write "approved, with this contract meaning the definitive contract still to be signed", and the AI carries that meaning into the next step. Anyone who reads the record later can also see what was agreed.
- Approving with an unclear word means agreeing to the meaning the AI had in mind. The mismatch shows up only after the work has moved on.
- Four kinds of words are worth asking about: new words, words with two meanings, everyday words used in a technical sense, and shorthand the AI coined. Ask only when the meaning would change the decision.
- Before approving, ask what the word refers to here, restate it in your own words, and add the meaning to your approval in one line.
Handing work to AI means approving more often. Each approval is a short reply, which makes it easy to skim past an unclear word and say "yes". That one word can change what the approval covers. The operator stopped at the contract and at "asynchronous" to settle each word before approving. Asking what a word means is not a sign of missing knowledge. It is part of deciding what you are agreeing to.
- MDN Web Docs. Asynchronous. MDN Glossary. https://developer.mozilla.org/en-US/docs/Glossary/Asynchronous
- Council for Cultural Affairs (Japan). Kōyōbun sakusei no kangaekata [Approach to writing official documents] (recommendation). Agency for Cultural Affairs, 2022. https://www.bunka.go.jp/seisaku/bunkashingikai/kokugo/hokoku/pdf/93651301_01.pdf
- Sharma, M., Tong, M., Korbak, T., et al. Towards Understanding Sycophancy in Language Models. arXiv:2310.13548, 2023. https://arxiv.org/abs/2310.13548
- Anthropic. Reduce hallucinations. Claude Developer Platform Docs. https://platform.claude.com/docs/en/test-and-evaluate/strengthen-guardrails/reduce-hallucinations