Lesson 1 of 8 · 8 min read · last verified 2026-10-15
What is worth leaving alone
In this lesson you will:
- Recognise the kinds of work where automation removes the thing that mattered
- Apply a short test before automating anything
Ten modules have been about doing this well. This one is about when to decline.
That is not an afterthought. The most valuable skill in the whole track may be the ability to look at something that could be automated and say, with reasons, that it should not be.
The question underneath
Every automation rests on an assumption that the work is its output: a report, a reply, a record, a decision. Produce the output faster or cheaper and you have gained.
For a lot of work that is true. For some it is not, because the output was never the whole point.
What is this work for?
If the answer is “to produce the thing”, automation is a reasonable candidate and the earlier modules apply. If the answer includes what the work does to the people involved, slow down.
Five kinds of work to leave alone
Where the judgement is the point
A decision that a person must be able to make, justify and own. Hiring, discipline, diagnosis, anything where “why did you decide that?” has to have a human answer. A tool can inform it. If the tool decides, the thing that gave the decision its legitimacy has gone.
Where the relationship is the point
A condolence message, an apology, a check-in with a struggling colleague, a thank-you. The words are the smallest part. The fact that a person chose to spend attention is the content. A flawless automated version carries less than a clumsy real one, and recipients usually know.
Where the cost of a mistake cannot be undone
P3·L6 and P5·L6 covered this: irreversible actions get a person. This is the stronger form. Where an error is severe and cannot be repaired, such as a safeguarding decision, a medical judgement or a legal filing, the question is not how to make the automation reliable enough. It is whether anything short of a person is acceptable.
Where it happens rarely
Automation pays back through repetition. A task done three times a year costs more to build, test and keep than it saves, and is done so rarely that the automation will have rotted between runs (P5·L8). The manual version stays fresh by being used.
Where the friction is protective
Some slowness is deliberate. A second signature, a waiting period before a transfer, a review before publishing, a pause before a deletion. Remove it for efficiency and you remove the protection along with it.
The giveaway is that people complain about it and nobody can quite remember why it was there. That is the moment to find out, before removing it.
A short test
Before building, ask five questions about the task.
- What is it for, beyond its output?
- If it is wrong, what is the worst outcome, and can it be repaired?
- Who is on the receiving end, and would they mind if they knew?
- How often does it happen, and will the automation outlive its usefulness?
- Is anything slow here on purpose?
A “yes, and it matters” to the first, third or fifth, or a “severe and unrepairable” to the second, is a reason to stop and think. It is not always a reason to refuse, and it is always a reason to decide deliberately.
Lrnon’s choices
The project makes this concrete in several places.
Certification is reviewed by named people. The assessment is built, with a rubric and a verification page, and it will not open until two different reviewers have agreed on twenty sample answers. A mark on a certificate is a judgement about a person, and the project has decided a person should make it.
Safeguarding is a person’s job. Learner-to-learner spaces stay closed until a named safeguarding owner and a deputy exist. The design explicitly forbids private messaging at all. An urgent report hides the content at once, which automates only the safe direction and leaves the response itself to people.
The assistant declines to give medical, legal, financial or personal-safety advice and says it needs a person. That is written into its rules, and the attack corpus has a case for it, a medical question, which needs a person to judge whether the refusal was the right kind and had not yet been judged when this was written.
In each case the work could have been automated further. The reason it was not is not technical. It is that the output was not what the work was for.
Try it now (15 minutes)
List five tasks you or your team have considered automating. Put each through the five questions.
For any task where an answer made you hesitate, write one sentence on what you would lose, and who would lose it. That sentence is worth keeping, because it is the argument you will need when someone says it would be so much faster.
Check your understanding
Recap
Automation assumes that the work is its output. Some work is not: where the judgement is the point, where the relationship is the point, where a mistake cannot be undone, where it happens too rarely to repay the keeping, and where the friction is protective. Ask what the work is for beyond its output, what the worst outcome is, who is on the receiving end, how often it happens and whether anything is slow on purpose. Lrnon keeps certification decisions, safeguarding and medical advice with people for exactly these reasons.
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