Already paying for AI? Choose one recurring task for it

The subscription is paid, the app is installed. A couple of times it impressed you: it worked through a document, helped with an email, answered a tricky question. But if someone asked what work you now do regularly with AI, you would struggle to answer.

You open it when you remember and try yet another ready-made request (a prompt) from your colleagues’ chat. And you are left with the feeling that a powerful tool is sitting idle.

Start not with what AI can do, but with your ordinary week. It almost certainly contains a task that recurs, that you know well and whose result you can check yourself. Testing on that task will show whether this way of working is worth repeating.

Why a subscription alone doesn’t create a habit

Buying gives you access to a tool. A habit forms around a situation: a request has come in, notes have piled up, there is a meeting tomorrow. Until that link exists, every launch starts with the question “what should I give it to do?” — and it is easy to drift into exploring: another review, another collection of prompts, another feature everyone raves about.

Exploring is interesting and useful. But for AI to become part of your work, you need a task that would come up without it: summing up the week, getting to grips with several documents before a meeting, turning your own notes into a clear explanation for a colleague. Work like this already has a reason to exist — what remains is to check whether AI makes it easier.

Step 1. Recall what recurred over the past month

You don’t need a full list of your duties. Three to five tasks are enough, described clearly enough to show what exactly you do. “I work with information” is too broad. “Before a meeting I reread my project notes and put together questions” is already an entry point.

Other activities can be made specific in the same way:

• “I write texts” → “I turn rough sketches into a first coherent explanation of my idea.”
• “I run projects” → “At the end of the week I reconstruct from my notes what has been done and what is left.”
• “I handle a lot of correspondence” → “Before replying I work through a long message and check that I have answered every question.”

Look at the work you put off because it is hard to start, and at the work where you have to piece scattered information back into one picture. The task can be small: for a first attempt it is enough to prepare questions for one meeting rather than rebuild the way you handle documents.

If it’s hard to choose: ask AI to suggest options

You don’t need to know the full catalogue of capabilities in advance: you can describe your work and ask for suggestions. How you describe it matters. Ask “I run a business, how can you help me?” and you will probably get a list of almost everything — strategy, marketing, sales, finance — which only makes choosing harder.

Describe a few recent activities: what you did, with which materials, where you got stuck and what result you needed at the end.

Then the suggestions can be discussed in concrete terms. If AI recommends preparing meeting summaries, check: do you have records of the meetings, may you use them, do you need such a summary and who will read it? Remember that these are assumptions: AI may suggest something for which it has neither the data nor the tools in this chat. Ask separately what is available right now, what you will have to hand over manually and how the result will be checked.

A good suggestion for a first attempt fits into one sentence: “When this situation arises, I hand over these materials and get this verifiable result.”

Step 2. Choose the task you know best

On familiar work you can see where an answer helps and where it merely looks convincing. In an unfamiliar field AI may produce a detailed professional opinion. But how do you check its quality? First you would have to understand the subject itself. In your own task you know the background, understand what the result is for and notice a missing condition.

A good first task has four features: it will come up again soon; the materials you need are at hand; you can check the result yourself; a mistake can be fixed before it affects other people. That is why it is convenient to start with a draft or an analysis that only you will see.

Decide separately which materials may be passed to the service. For a trial, your own notes without confidential information are usually enough. Having access to a document does not mean you have the right to upload it to an AI service. If the materials contain personal data of clients or employees, GDPR — the European regulation on personal data protection — applies to them; for a trial it is better to leave such materials out.

Step 3. Give AI a small piece of the work

An example. Every Friday you write a short project update. Over the week your notes have collected entries about completed work, plans and questions — and these need to be turned into a clear text. Limit the first attempt to a draft.

Before you make the request, define the result: a short project update. Split it into completed work, unfinished actions and questions that need a decision. Every statement must be backed by the notes.

The main trap here is mixing up plans and facts. The note “send the mock-up on Tuesday” does not confirm that the mock-up was sent. If AI turns it into “mock-up sent”, the report will look neater, but it will contain an unconfirmed event. So set the boundary explicitly in your request: if completion is not confirmed, keep it as a question or mark it as “unknown”.

Step 4. Check the draft against the sources

Open your notes next to the answer and go through four questions. What has gone missing? Where has the meaning changed? Has an intention turned into completed work? Can the result be used after a small, clear edit?

This example alone shows whether there is a benefit: did putting together the weekly update become easier?

Step 5. Repeat when the task comes back

One successful attempt says little about regular work. The materials may have been unusually clear. Or you spent a lot of time explaining because you enjoyed trying it out. The second time you can see which actions you will have to repeat every time.

After a successful attempt, save a short template: which task you were solving, what you handed over and what you made sure to check. Leave out private details of the specific project unless you will need them later.

When the next Friday comes and it is time for the update again, use the template and check whether it helps you start faster. If you again have to explain everything from scratch, add what was missing. This way the habit is anchored in the work itself, and you don’t have to invent a separate activity just for the sake of the subscription.

Step 6. Assess the benefit including preparation and checking

The speed of the answer is visible straight away; the effort around it is not. The draft report appeared almost instantly, but before that you spent a long time copying entries from different places, and afterwards you corrected statuses that had been misunderstood. It may well turn out that the whole process still takes as long as it did before.

This is also a result of the test: it shows what to change. You can provide tidier source notes. You can narrow the assignment — for example, ask only for the questions that the notes leave unanswered. You can choose another task where preparation is simpler.

The benefit is not always measured in minutes. Perhaps AI spotted an important gap or helped you start a text you had long been putting off. After a few attempts, ask yourself one question: do I want to do this work the same way next time — and why? “It produced an impressive answer” and “it has become more convenient for me” may coincide, but the second is worth checking separately.

Before your first attempt: seven questions

• Will this task come up again soon?
• Do I understand what an acceptable result looks like?
• Can I spot significant errors and omissions myself?
• Do I have materials that I am allowed to use?
• Which small part of the work am I handing to AI?
• How will I know that the attempt was useful?
• When will I try this approach again?

After the attempt, write down in a few sentences what worked, what you had to correct and how much time and effort went into preparation and checking. If the benefit is not obvious, don’t rush to a more sophisticated tool: first check whether the task was well chosen and whether the assignment was narrow enough.

Prompt: choose your first recurring task

Use this request in your usual AI chat or in Codex. It helps you choose an experiment; you start the work itself only after you have checked the suggested option.

Help me choose one recurring task on which I can test
the benefit of AI in my work or everyday life.

Tasks I have done recently:
[3–5 specific tasks in plain words]

Most of my effort goes into:
[what is hard to start, has to be repeated or takes long to check]

Tools I already use:
[my AI chat and work apps]

Materials I can use:
[notes, documents, data; separately — what must not be shared or disclosed]

First check whether this description is enough. If something
important is missing, ask up to three specific questions and do not
ask about what I have already told you.

Suggest no more than three tasks for a first attempt. For each:
— the situation in which it arises;
— which small part of the work can be handed to you;
— which materials will be needed;
— what the outcome should be;
— how I will check the result;
— what will be left for me to do.

State separately which data and tools are actually available
to you right now. Do not assume that you can see my apps, documents
or other chats just because I mentioned them.

Do not promise time savings without checking, and do not suggest
new subscriptions or complex automation.

Recommend one option that I understand, can check and will
repeat when the task comes up again. For it, draw up a short
plan: source materials, assignment, check, sign of benefit —
taking into account the time and effort for preparation,
checking and corrections.

Stop there and wait for my choice. Do not carry out,
record or send anything.

Read the suggestion before starting the work. If a first attempt suddenly requires collecting a large archive, connecting several systems or learning a new profession, ask for a smaller scope. A good first experiment fits within a task you understand.

The subscription doesn’t have to take up your time

Money already spent pushes you to use all the features urgently. But there is no need to load yourself with extra work just to feel that the subscription is being used. One useful application is enough, plus a check of whether you want to come back to it. Over time other tasks will appear — or it will turn out that your needs are more modest than they seemed when you bought it.

The main thing is that you will have your own basis for a decision: which work goes better with AI, where you need help and what you actually use.

Read next: if AI is already part of your work but the workload is not getting lighter — “You use AI every day. Why isn’t there less work?”. If you would like to examine your whole working week rather than one task — “Examine your working day before building an AI agent”.

If it is hard to choose a first task on your own, we can find it together at a free 30-minute meeting with Simplit: you tell us what you do regularly and where the time goes, and we suggest what to test AI on. Discuss your task