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AI and everyday work

Why Your Judgement Still Matters

AI can get work surprisingly close, surprisingly quickly. The harder part is noticing what the finished-looking answer has missed.

This article was made with AI and StoryEngine. It was polished and broadly right, but it did not quite sound like me — which rather proves the point.

A blank page used to advertise the fact that the thinking had not happened yet. AI removes that warning. Within a minute there can be headings, sensible sentences, a confident conclusion and enough polish to make the work feel further along than it really is.

None of this makes the output useless. Often it gives me a strong starting point, and sometimes it gets surprisingly close. What has changed is the moment at which judgement is needed. I am no longer spending all my time trying to make a first draft appear; I am deciding whether the draft has any life in it, what it has misunderstood and which parts deserve to survive.

AI has made a plausible answer unusually cheap. It has not made the consequences of choosing a poor one any cheaper.

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Finished-looking work needs a second look

I see this while building products and reviewing designs. AI can produce a respectable website concept very quickly, with a familiar structure and all the expected components in place, while somehow missing the thing that makes the project or the client distinctive. An app review can return dozens of possible improvements when the real job is less exciting and more important: make the experience that already exists work properly.

Plausibility is helpful, but it can be deceptive because weak work no longer has to look weak. A proposal can be well structured, a design can look current and an email can be factually correct, while each is still wrong for the situation.

The same thing happens when I am looking at names, layouts or product directions. Several options can be defensible. Several can meet the brief. I still have to recognise which one has some energy in it, which one belongs to the client and which one is merely an accomplished imitation of work I have seen before.

What I have noticed is that fluency changes the burden of the work. When unfinished work looked unfinished, it invited questions. Now a polished answer can quietly encourage the reviewer to scan instead of read, approve instead of examine and confuse confidence with evidence.

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A correct email can still be the wrong email

Client communication is a good example. AI may draft an impeccable reply and still misjudge the history or mood of the relationship. Perhaps the words are polite but the client has already been disappointed twice; perhaps a routine answer sounds evasive because it ignores something both sides know. The missing information is often not a fact that can be added to the prompt. It is an understanding of why this particular moment needs more care.

Judgement sounds grander than it usually feels. Most of the time it is a series of small decisions: noticing that a website concept is generic, deciding that an app needs fewer ideas rather than more, softening an email because the relationship is delicate, or discarding three plausible names because none of them feels alive.

There are a few questions I keep returning to. What do I actually know? What is different about this person or situation? What happens if this is wrong? Am I prepared to explain the choice afterwards? AI can help me find evidence, compare options and expose assumptions, but the answers still depend on information and consequences that may never appear in the prompt.

This is also where a nominal human review can become meaningless. If somebody merely clicks approve because the draft looks complete, the process has added a person without adding much judgement. The useful review is the one that can change the work, reject it or pause long enough to ask whether the system has solved the right problem.

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Where the pattern stops fitting

Sometimes the pattern simply stops fitting. A routine enquiry becomes a sensitive one, a standard design needs to reflect an unusual audience, or a product decision becomes hard to reverse. Perhaps AI can describe the exception perfectly well; recognising that it is an exception, and deciding what to do with it, is still part of the work.

Four moments to move closer

The more of these that are present, the less comfortable I am with a quick approval.

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Ambiguity

The request, evidence or goal is unclear, so somebody has to decide what problem is actually being solved.

Exception

The situation does not fit the normal pattern and a standard answer may miss what is different.

Consequence

A poor choice could cost money, opportunity, trust or something that is difficult to undo.

Relationship

A technically correct answer could still damage a relationship because history and mood matter.

I do not think every AI-assisted task needs the same level of scrutiny. Keeping a person close to every routine step can add delay without improving the result, while treating every task as routine is how important exceptions get missed. The sensible split depends on how clear the work is, how reversible the outcome is and who carries the consequence.

I would not treat this as a ladder towards full automation. Some work should remain human-led because interpretation is the work, and some routine work can safely run with occasional sampling. The point is to put attention where it can actually alter the outcome.

A practical split of attention

Different work deserves different levels of human involvement. The useful question is where attention can genuinely change the result.

Decision Shape	Suitable Work	Ai Role	Human Role	Minimum Evidence
AI completes; person samples	Routine and reversible	Complete the task	Sample the output and improve the process	Approved source, logs and error rate
AI drafts; person edits	Context-sensitive	Prepare a draft	Check the evidence, edit and approve	Sources, assumptions and changes
AI compares; person decides	High-consequence or contested	Compare options	Make the decision and record why	Corroborated evidence, alternatives and reasons
Person leads; AI explores	New or ambiguous	Broaden the possibilities	Frame and lead the work	Unknowns, experiments and a review point

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Paolo Di Terlizzi

If all I do is click approve, I have not really added judgement. I have just made the process slower.

Photo by Mikhail Nilov on Pexels

A short pause before release

Ten seconds will not solve a difficult decision, but it can interrupt the habit of accepting the first plausible version.

What is it assuming?

Every answer rests on a frame. Check whether the task or situation has been understood correctly.

What can it not see?

History, mood, informal agreements and recent changes may never appear in the prompt.

What happens if it is wrong?

Some mistakes are easy to reverse; others cost money, opportunity or trust.

Who owns the next move?

If nobody is willing to explain the choice, the review has produced output without ownership.

AI can take me a long way into a piece of work. It can help me move from notes to a draft, from a vague product idea to something testable, or from a mass of comments to a useful list of changes. Along the way it can also produce plenty that I discard, including work that is polished enough that throwing it away feels slightly wasteful.

That is probably the part I am still learning: speed creates more options, but it does not remove the need to choose. In some ways it makes that choice more visible. When several directions are all plausible, I have to decide which one is worth pursuing; when a design is competent but anonymous, I have to notice what is missing; when a message is correct but badly judged, I have to rewrite it.

I do not want to pretend that I always get this right, or that there is a neat method which settles every case. I think the useful discipline is simpler and a little more personal: look past the finish, stay curious about what the system has missed, and be willing to reject work that is merely plausible.

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Before I press publish

AI gets me further and faster than I could get on my own, but I still have to choose the direction, decide what is ready and put my name to whatever I release.