How to use AI for your business and daily life

Give your assistant a small, useful job.

Choose something you already do: organize a task list, improve a draft, practice a skill, or compare options using facts you supply. Define a usable result before opening the chat.

A busy business owner and someone managing a personal project often face the same problem: plenty of information, little time to turn it into the next step. AI can help prepare that step. You still need a way to tell whether the result is accurate, relevant, and worth the effort.

The examples below are suggested exercises, not measured productivity results. You can adapt the prompts to a chat assistant that supports text. Start with material you own or are allowed to share; remove customer identifiers when they are unnecessary for the exercise.

Match the assistance to the task.

For example, compare two event venues using details you collected: capacity, opening hours, transport, and available equipment. Ask for “unknown” where a detail is absent. Confirm current availability directly before choosing. A tidy comparison does not establish that the underlying information is correct.

Three prompts to try today

Replace the bracketed fields with your own information. These are original starting templates; refine them around the result you actually need.

Help me draft a plan for [week or day].
My available work time: [hours and days].
Fixed commitments: [times I cannot move].
Tasks, deadlines, and estimated effort: [my list].
Priorities: [what matters most and why].

Use only this information. Flag unclear deadlines or estimates.
Keep fixed commitments unchanged and leave room for interruptions.
Return a proposed schedule, tasks that do not fit, and questions
I need to answer. Do not book, send, or change anything.

For a hypothetical weekly plan, “finish website” is too broad to estimate. Break it into tasks such as write the contact copy, choose project images, and check the mobile layout. If the proposed schedule exceeds your available time, remove or postpone work before committing to it.

Help me practice [skill] at [my current level].
My goal: [a specific task I want to perform].
Reference material I want to learn from: [paste an allowed excerpt].

Ask one short practice question and wait for my answer.
Then explain what I got right and what needs work, referring to
the supplied material. If it does not support an answer, say so.
Give a different question for the part I missed.
After three questions, suggest one exercise I can do without AI.

Try this for writing clearer emails, practicing a language exercise, or learning a spreadsheet concept. Close the chat and do the final exercise yourself. A convincing explanation is useful only if you can apply what you learned.

Revise the draft below for [audience] so they can [desired action].
Tone: [for example, friendly and direct].
Length: [limit or target].
Facts and commitments that must stay unchanged: [list].
Draft: [paste text I am allowed to share].

Make the request and next step clear. Keep the stated uncertainty.
Do not add claims, dates, promises, or achievements.
Return the revised draft, a short list of meaningful changes,
and any unanswered questions I should resolve before using it.

Review the changes alongside your original. An uncertain delivery estimate should remain an estimate. A project update should distinguish work completed from work planned. Send the message yourself after checking it.

Make the next attempt better.

Tell the assistant exactly what missed the mark: “The plan moves a fixed appointment,” “This summary adds an owner we never agreed,” or “The email buries my request.” Revise one requirement, then compare the outputs. Repeatedly asking for “better” leaves the target unclear.

Save a useful prompt with a short note about its input and checking steps. Keep separate templates for different jobs. A writing template does not need your whole business history; it needs the information relevant to that message.

OpenAI’s prompting documentation supports clear instructions and relevant context. Its evaluation guidance recommends judging specific tasks against defined criteria. These API principles inform the exercises here; results will vary across assistants and tasks.

Run a seven-day experiment.

1. Day 1: pick one repeated task.Record how you normally complete it and what a good result includes.
2. Day 2: try a template.Supply a representative example and keep both the first output and your final version.
3. Day 3: name the problems.Note missing facts, unsuitable tone, or unrealistic assumptions. Change one instruction.
4. Day 4: try a different example.Use the revised prompt on the same kind of task with new material.
5. Day 5: test an awkward case.Include a missing date or conflicting notes. Check that the uncertainty stays visible.
6. Day 6: make it reusable.Save the prompt, input checklist, and review steps if the results are useful.
7. Day 7: decide whether to keep it.Compare total effort and quality with your usual process. Keep, revise, or drop the approach.

Count the entire task: preparing information, writing the prompt, waiting, checking, and correcting. Also ask whether you understood the result, learned something useful, or produced clearer work. Faster text generation alone is an incomplete measure.